★ 4.6 / 5
from 1,408 verified reviews on G2, Capterra and Trustpilot
CSV Splitter Tool To Split CSV in Small
PCDOTS CSV Splitter loads one large .csv source file, parses it as RFC 4180 comma-separated values in UTF-8 or ASCII encoding, applies a chosen split criterion (max rows per output, column value, or even chunks), retains the source header row on every output file, and writes multiple smaller .csv files at the destination - useful when one file exceeds the Excel 1,048,576-row limit or downstream tools demand smaller batches.
CSV split jobs divide across three orthogonal axes: split criterion (max rows per output, column value grouping, or even chunks across N files), header policy (retain on every output or write the source header only on the first), and output naming pattern (sequential numbering, column-value naming, or custom template). Three feature pillars cover the workflow: source loading, criterion selection, and output writing.
Source Loading: One Large CSV at a Time
The wizard accepts Add Files for individual .csv selection or Add Folder for batch ingestion. Each loaded source file lists in the navigation pane with row count, column count, detected encoding (UTF-8 with BOM, UTF-8 without, or ASCII), and detected header row. Source files commonly hit million-row scale; the wizard handles Excel-incompatible sizes (over 1,048,576 rows) without loading the entire source into memory at once.
Add Files for individual .csv selection
Add Folder for batch source ingestion
Per-file: row count, column count, encoding, header status
Criterion Selection: Three Split Methods
Max-row split caps each output file at a configurable row count (90 rows, 1,000 rows, 100,000 rows). Column-value split groups source rows by the value in a chosen column - one output file per unique value. Even-chunks split divides the source into N equal-sized output files regardless of content. Pick the criterion that matches the downstream tool requirement.
Max-row split: configurable rows-per-output count
Column-value split: one output per unique value
Even-chunks split: N equal-sized output files
Output Writing: Many Smaller .csv Files
The output is a folder of smaller .csv files, named per a configurable pattern (sequential numbering, column-value naming, or custom template). Header retention policy applies at write time - the source header re-emits on every output file by default, useful for downstream tools that expect a header row on every CSV. Each output file writes UTF-8 with optional BOM (Excel compatibility) and CRLF line endings (per RFC 4180).
Configurable output naming pattern
Header retention toggle on every output file
UTF-8 with optional BOM, CRLF line endings
Max-Row Split for Excel Row-Limit Workaround
Excel for Windows has a hard 1,048,576 row limit per worksheet. CSV files larger than that fail to open in Excel directly. The wizard's max-row split runs the source through a configurable row cap (default 1,000,000 to leave headroom under the Excel limit) and emits multiple output files each under the cap. Each output opens cleanly in Excel; downstream tools that expect smaller batches handle them naturally.
Column-Value Split for Group-By Operations
Source CSV has a category, region, or status column; downstream tools want one file per category. Pick the column from a dropdown; the wizard groups rows by unique value and emits one output file per value. Useful for sales pipeline splits (one CSV per region), survey data splits (one CSV per response category), and CRM exports (one CSV per account owner).
Even-Chunks Split for Equal File Sizes
For workflows that need N equally-sized batches regardless of content (parallel processing, A/B test cohort splitting, equal workload distribution across analysts), the wizard's even-chunks split takes a target N and divides source rows into N output files of roughly equal size. Last file may be slightly smaller if the source row count is not evenly divisible by N.
Header Retention on Every Output File
CSV header retention is a per-job toggle. Default ON: the source header row re-emits at the top of every output file. Useful for downstream tools that parse each CSV independently and expect a header row. OFF: only the first output file gets the source header; subsequent outputs are header-less data continuations. Useful when concatenating outputs back together later.
Configurable Output Naming Pattern
Output filenames follow a configurable pattern. Sequential: source.csv → source_001.csv, source_002.csv. Column-value (with column-value split mode): source.csv → source_north.csv, source_east.csv. Custom template: any operator-defined string with placeholders for index number, column value, source filename, and timestamp. Useful for organizing large output sets in downstream import workflows.
Streams Source Without Loading Into Memory
Source files commonly hit million-row or multi-GB scale; loading the entire source into memory before splitting would exhaust RAM on standard hardware. The wizard streams source rows through the parser one at a time, evaluates against the split criterion, and writes to the matching output file. Memory footprint stays under one GB even for ten-million-row source files. Throughput limited primarily by destination disk write speed.
3Split criteria available
RFC 4180CSV format standard
100%Field value retention
2,211Verified user reviews
Simple 3-Step Process
Three Phases from Source CSV to Output Folder
The source load, the criterion pick, the output write - three phases cover most CSV split jobs at the high level. Each phase hides specific details (encoding detection, column-value enumeration, output naming pattern) that the eleven-step walkthrough later on this page covers in full.
01
1. Load the Source CSV
Click Add Files for individual .csv selection or Add Folder for batch ingestion. The wizard reads each source as RFC 4180 comma-separated values, detects encoding (UTF-8 with or without BOM, or ASCII), and lists row counts and column counts in the navigation pane.
02
2. Pick the Split Criterion
Hit Action > Split in Multiple. Three criteria appear: max rows per output (cap each output file at N rows), column value (group rows by chosen column), or even chunks (N equal-sized output files). Configure the criterion parameters in the same dialog.
03
3. Pick Output Folder and Save
Browse to the destination folder, choose an output naming pattern (sequential, column-value, or custom template), decide whether to retain the header on every output file (default ON). Click Save. The licensed edition writes any output count; the trial caps at the first 10 files per source folder for evaluation.
Software Compatibility
CSV Source and Output Reference
Source: any RFC 4180 compliant CSV file in UTF-8 (with or without BOM) or ASCII encoding, with or without a header row. Source files commonly hit million-row scale; the wizard handles Excel-incompatible sizes (over 1,048,576 rows) without loading the entire source into memory. Destination: multiple smaller .csv output files in RFC 4180 compliant format, UTF-8 encoding (BOM optional for Excel compatibility), CRLF line endings, with options for line ending and quoting policies.
Input File Formats / Servers
Specialized and Tested Across Every Common Email Source
The CSV Splitter wizard for Windows loads one large .csv file from disk, parses it as RFC 4180 comma-separated values, and emits multiple smaller .csv output files based on a chosen split criterion. Whether the source is a 1-GB analytics export or a 12-GB log dump, the wizard streams rows through the parser without loading the entire source into memory at once.
Browse the full list of input file CSV source files (UTF-8 / ASCII / RFC 4180) the wizard loads, plus the multiple smaller .csv outputs it writes.
Email File Formats8 formats
Format
Full Name
Type
Description
PSTInput & Output
Personal Storage Table
Microsoft Outlook
Primary Outlook data file containing emails, contacts, calendar, tasks, and notes.
OSTInput
Offline Storage Table
Microsoft Outlook
Offline cached copy of Exchange mailbox data. Supports inaccessible or orphaned OST files.
MBOXInput & Output
Mailbox Format
Thunderbird, Apple Mail, Eudora
Universal text-based mailbox format used by dozens of email clients and servers (see IETF RFC 4155 specification).
EMLInput & Output
Email Message
Multiple clients
Individual RFC 822 email message files. Widely supported by Windows Mail, Outlook Express, and others.
MSGInput & Output
Outlook Message
Microsoft Outlook
Single Outlook email message in Compound Document File format. Preserves all metadata.
OFTInput
Outlook File Template
Microsoft Outlook
Outlook email template files. PCDOTS converts OFT templates to any supported format.
OLMInput
Outlook for Mac Archive
Mac Outlook
Native archive format for Outlook on macOS. Contains emails, contacts, and calendar data.
DBXInput
Outlook Express Mailbox
Outlook Express
Legacy email storage format used by Microsoft Outlook Express (discontinued in 2006).
Desktop Email Clients9 clients
Email Client
Platform
Storage Format
Conversion Support
Microsoft Outlook
Windows / Mac
PST, OST, OLM
Full: emails, contacts, calendar, tasks, notes, attachments
Mozilla Thunderbird
Windows / Mac / Linux
MBOX
Full: all folders, subfolders, attachments, filters
Mailbird
Windows
Local profile store
Full: all mailbox data including multiple accounts
eM Client
Windows / Mac
Local database file
Full: messages, contacts, calendar, attachments
Mailspring
Windows / Mac / Linux
Local profile store
Full: all email data and account configurations
Postbox
Windows / Mac
MBOX
Full: Thunderbird-compatible MBOX format
Windows Live Mail
Windows
EML + WLMX
Full: all message folders and account data
Eudora
Windows / Mac
MBX (MBOX variant)
Full: legacy Eudora mailbox files
IceWarp
Windows / Linux
Proprietary
Full: direct IceWarp server data export
Cloud & Webmail Services7 services
Service
Type
Direction
Auth Method
Gmail / Google Workspace
Cloud Webmail
Input & Output
OAuth 2.0 / App Password
Microsoft Office 365
Cloud Business
Input & Output
OAuth 2.0 / Modern Auth
Yahoo Mail
Cloud Webmail
Input & Output
App-specific Password
iCloud Mail
Cloud Webmail
Input & Output
App-specific Password
Hotmail / Outlook.com
Cloud Webmail
Input & Output
OAuth 2.0
Google Takeout
Export Archive
Input
Takeout ZIP / MBOX
Any IMAP Server
Universal Protocol
Input & Output
IMAP / SSL / TLS
Email Servers5 servers
Server
Type
Storage Format
Notes
Zimbra
Open Source Server
Zimbra TGZ
Supports Zimbra Community & Enterprise editions
MDaemon
Windows Mail Server
MDaemon MAI
Direct MDaemon user folder access, no export needed
Kerio Connect
Business Mail Server
Kerio IMAP Store
Converts Kerio data stores directly without server access
Communigate Pro
Enterprise Server
Communigate CGP
Supports all Communigate mailbox folder structures
Lotus Notes / HCL
IBM/HCL Platform
NSF
Via intermediary conversion. Contact support for enterprise plans.
Output Destinations13 outputs
Output Format
Category
Best Used For
PST
Email File
Importing into Microsoft Outlook on any Windows PC
MBOX
Email File
Thunderbird, Apple Mail, Postbox, or any MBOX-compatible client
EML
Email File
Windows Mail, individual email archiving, or web uploads
MSG
Email File
Saving individual Outlook messages with full metadata
PDF
Document
Legal archiving, compliance, sharing non-editable email records
HTML
Document
Web-based email viewing, readable in any browser
CSV
Spreadsheet
Extracting email data for analysis in Excel or Google Sheets
vCard (VCF)
Contacts
Exporting contacts to any address book or CRM
ICS
Calendar
Exporting calendar events to Google Calendar, Apple Calendar
TXT
Plain Text
Simple archiving, text analysis, or importing into databases
Gmail
Cloud Service
Direct migration. Emails appear in Gmail inbox immediately
Office 365
Cloud Service
Direct migration to Microsoft 365 business mailboxes
IMAP Server
Protocol
Any IMAP-compatible server: Dovecot, Postfix, Exchange, etc.
Advanced Filters
What Else CSV Splitter Handles Beyond Plain Splits
Beyond the three primary split criteria, the wizard exposes secondary configurations for common edge cases. Column subset selection: include only specific source columns in the output (drop sensitive PII columns before passing CSVs to a downstream tool). Row range filtering: split only rows N through M from the source rather than the entire file. Skip rows above header: source files exported by some tools include preamble rows above the header (e.g. "Report Generated: 2026-05-04") that the wizard skips before parsing the header.
Encoding handling sits in the source-detection step. The wizard checks the source file for UTF-8 with BOM (the three-byte EF BB BF prefix Excel writes), UTF-8 without BOM, or plain ASCII, and parses cell values using the detected encoding. Output files inherit the source encoding by default; an output-encoding override forces UTF-8 with BOM (Excel-friendly) or UTF-8 without BOM (database-import-friendly) regardless of source encoding.
Cross-file search queries across loaded sources before the split commits. Hits return file name, row number, and matching cell value. Useful for confirming an expected record sits in the source set, sampling random records to verify parse quality, and spot-checking column-value distributions before column-value split mode (preview which unique values exist in the chosen column to anticipate the output file count).
PCDOTS CSV Splitter v1.0
Smart Search
Why Users Switch to PCDOTS
Five CSV Split Problems and Their Resolutions
Below are five blockers that show up over and over in support tickets when teams try to break apart large CSV files using Excel filters or quick-and-dirty Python scripts. The right column shows how the wizard sidesteps each one.
Problems You're Facing
Excel refuses to open CSVs over 1,048,576 rowsExcel for Windows has a hard 1,048,576 row limit per worksheet. Source CSVs from analytics tools, log exports, and database extracts routinely exceed this limit. Excel either truncates silently (rows past the limit get discarded with a warning that operators often miss) or refuses to open the file entirely. The wizard's max-row split caps each output at a configurable count (default 1,000,000 to leave headroom under the Excel limit) and produces multiple Excel-friendly output files.
Downstream tool requires one CSV per categoryA regional sales tool, a per-cohort statistical pipeline, or a per-account CRM import expects one CSV file per category. The source holds all categories merged into one CSV with a category column. Manual splitting in Excel (filter, copy to new sheet, save as CSV) takes hours per category and is error-prone. Column-value split runs once on the category column and emits one output per unique value automatically.
Memory exhaustion when splitting multi-GB CSVsGeneric Excel-based or pandas-based splits load the entire source into memory before processing. A 5 GB source CSV exhausts RAM on standard hardware (16 GB workstations slow to crawl, 8 GB workstations fail outright). The wizard streams source rows one at a time through the parser; memory footprint stays under one GB regardless of source size. Tested split size: 50 million rows, 12 GB source, on a 16 GB workstation.
Sequential output naming that matches downstream importDownstream import tools often expect a specific filename pattern (batch_001.csv, batch_002.csv) for sequential processing. Generic split tools emit names like split_part_1.csv, split_part_2.csv which the import tool rejects. The wizard's configurable output naming pattern matches whatever the downstream tool requires - sequential with custom prefix, column-value naming, custom template with placeholders.
Headers missing or duplicated across output filesA common problem with manual split workflows: some output files lack the source header; downstream tools fail to parse them. Or worse: source headers duplicate inside output files, breaking the row count. The wizard's header retention toggle handles both cases - default ON re-emits the source header at the top of every output, default OFF gives the header only to the first output. No manual cleanup needed downstream.
How PCDOTS Fixes It
Three split criteria cover three real-world scenariosMax-row split for Excel row-limit workarounds and downstream batch sizing. Column-value split for category-grouping and per-stakeholder distribution. Even-chunks split for parallel processing and equal workload distribution. One license, one binary, three criteria; pick whichever matches the immediate need at split time.
Streams source rows without loading into memorySource files at multi-GB scale would exhaust RAM if loaded entirely; the wizard streams rows one at a time through the parser. Memory footprint stays under one GB even for ten-million-row source files. The limiting factor on throughput is destination disk write speed, not source size.
Direct MBOX to Gmail migration in a single click.Connect your Gmail account inside the converter. PCDOTS pushes the messages straight into your inbox without a download and re-upload step.
Configurable output naming for downstream pipeline matchingSequential numbering (source_001.csv), column-value naming (source_north.csv), or custom templates with placeholders for index, column value, source filename, and timestamp. Match whatever filename pattern the downstream import tool expects. No manual rename rounds after split; outputs land with correct names directly.
Header retention toggle handles both downstream casesDefault ON: source header re-emits at the top of every output - downstream tools parse each output independently with full schema info. OFF: only the first output keeps the header - useful when concatenating outputs back together later or when a downstream tool expects header-less data continuations. Toggle picks at split time, not at tool-purchase time.
Real-World Applications
Six Reasons People Split CSV Files
CSV splits happen for many reasons: a downstream tool refuses files over a certain row count, an Excel user cannot open a file past the 1,048,576-row limit, parallel processing pipelines need equal-sized chunks, downstream consumers want one file per category. Six recurring scenarios below cover the bulk of split jobs the wizard handles.
Excel 1,048,576-Row Limit Workaround
A user receives a 1.5-million-row analytics CSV and Excel for Windows refuses to open it - file truncation warnings appear, rows past the 1,048,576 limit get silently discarded. Max-row split with a 1,000,000 cap produces two output files, each comfortably under the Excel limit, both opening cleanly. The combined view across both files preserves every row from the source.
PST to Office 365Exchange migration
Group Sales Pipeline by Region for Distribution
A central sales operations team holds the master pipeline CSV; regional managers each need only their region's rows. Column-value split on the "Region" column emits one output per region (north.csv, east.csv, south.csv, west.csv). Each regional manager receives their CSV; no cross-region data leakage in the distribution. Headers retained per output for direct import into each manager's reporting tool.
PDF exportGDPR compliance
Parallel Processing for Data Pipelines
A data engineer needs to process a multi-million-row CSV through a slow per-row transformation. Single-process runtime is hours; parallel processing across 8 worker processes would finish in minutes. Even-chunks split with N=8 produces 8 equal-sized output files, each fed to one worker. Header retention OFF on chunks 2-8 (workers expect data-only continuations).
Corrupted PSTForensic recovery
Survey Response Splitting by Cohort
A research project ran a survey with multiple response cohorts (treatment group, control group, baseline group). All responses landed in one master CSV with a "Cohort" column. Column-value split on Cohort emits one CSV per group (treatment.csv, control.csv, baseline.csv). The statistical software imports each separately for the per-cohort analysis without cross-cohort contamination.
MBOX to PSTEML to MSG
Lead Distribution Across Sales Reps
A B2B lead-gen team holds a 10,000-row lead list from a vendor and needs to distribute equally across 10 sales reps. Even-chunks split with N=10 produces 10 output files of roughly 1,000 leads each. Each rep receives their own CSV; no cross-rep contention over the same leads. The output naming pattern (leads_rep_01.csv through leads_rep_10.csv) makes the distribution clear at a glance.
HIPAAHealthcare archives
Database Bulk Import Batch Sizing
A database bulk-import tool documents a 100,000-row-per-batch limit. The source CSV holds 5 million rows. Direct import would require 50 manual rounds; max-row split with cap at 100,000 produces 50 output files automatically. Each output imports into the database in one operation; the bulk-import tool processes them sequentially or in parallel depending on its capabilities.
Contact extractionCRM enrichment
Why Customers Choose This Tool
Eight Specifications Worth Verifying Before You Buy
When the workflow rules out browser-based splitters and the team has no Python time to spare, a desktop wizard is the remaining path. PCDOTS competes here against BitRecover and CSV Splitter Plus among others. Eight specifications below show where the wizard differs from the field.
Three Split Criteria in One Tool
Generic split utilities typically offer one criterion - usually max-row split. The wizard offers three criteria: max-row split for size capping, column-value split for category grouping, and even-chunks split for equal distribution. The choice happens at split time once the source is loaded; no need to compose multiple tools to cover the three common split scenarios.
Streams Source Without Memory Exhaustion
Source files commonly hit million-row or multi-GB scale; loading the entire source into RAM before splitting exhausts memory on standard hardware. The wizard streams source rows through the parser one at a time, evaluates against the split criterion, and writes to the matching output. Memory footprint stays under one GB even for ten-million-row source files.
Header Retention Toggle Per Job
Default ON: source header re-emits at the top of every output file. Useful for downstream tools that parse each output independently. OFF: only the first output gets the source header; subsequent outputs are header-less data continuations. Useful when concatenating outputs back together later. Generic split tools often hard-code one behavior; the wizard exposes the toggle.
RFC 4180 Compliant Output
Output files conform strictly to RFC 4180. Field separator is the comma; cells holding embedded commas, newlines, or quote characters get wrapped in double quotes, with embedded quotes doubled rather than backslash-escaped. Records terminate with CRLF. The practical result: every output drops cleanly into Excel, the open-source spreadsheet apps, the standard Python and R readers, and any reasonable BI ingestion endpoint without a preprocessing step.
Configurable Output Naming Pattern
Output filenames follow a configurable pattern: sequential numbering (source_001.csv, source_002.csv), column-value naming (source_north.csv, source_south.csv when using column-value split), or custom template with placeholders for index, column value, source filename, and timestamp. Useful for organizing large output sets in downstream import workflows.
Cross-File Search Before Split
For sanity-checking a large source before splitting, the search box queries the loaded source file. Hits return row number and matching cell value. Useful for verifying a specific record sits in the source, sampling random records to verify parse quality, and spot-checking column-value distributions before column-value split mode (preview which unique values exist in the chosen column to anticipate the output file count).
Standalone Tool, No Excel Required
A bundled RFC 4180 parser ships inside the binary, which means the workstation never needs Excel, Calc, or any cloud spreadsheet app installed for the wizard to read source files. This matters on three deployment surfaces: headless Windows Server hosts running scheduled batch jobs, build agents inside CI/CD pipelines, and developer workstations governed by corporate IT policies that gatekeep new spreadsheet installs.
Compatible With Windows 7 Through Windows 11
Supported targets include every Windows desktop release from XP through 11 plus the Server family from 2008 onward through 2022. Installation requires only a .NET Framework 4.5 runtime - no SQL Server, no IIS, no third-party redistributables. The wizard's memory profile is bounded by the row width (column count multiplied by average cell length) of the source rather than the row count, so a fifteen-year-old Win7 box with 4 GB RAM can split a hundred-million-row narrow CSV that would crash a fresh laptop running pandas.
Technical Specs
System and Software Requirements
What you need to run the CSV Splitter for Windows, plus the trial limitations.
Software Name
PCDOTS CSV Splitter
Current Version
3.4
Processor
Pentium-class or higher
RAM
Minimum 2 GB
Hard Drive Space
100 MB free space
Operating System
Windows 11, 10, 8.1, 8, 7, Vista, XP. Server 2019, 2016, 2012, 2008, 2003 and earlier.
Trial limitation: the demo edition writes the first 10 output files per source folder so you can verify accuracy on real data before purchasing. The full edition has no limits and ships with a lifetime license.
Trial vs Full
Trial vs Licensed Edition for CSV Split
Trial and licensed editions ship the same binary - identical RFC 4180 parser, identical three split criteria (max-row, column-value, even-chunks), identical header retention toggle, identical output naming pattern. The trial caps the writer at the first ten output files per source folder per split job. Licensed edition runs $29 one-time per workstation; the license is perpetual and ships lifetime updates as RFC 4180 edge cases (Excel BOM behavior changes, new platform CSV exports) get reported.
Picking a CSV split tool means choosing between paste-and-split web services (problematic for confidential tabular data, capped by upload limits), Python and awk scripting (flexible but requires engineering time and stalls on multi-GB files that exceed available RAM), and desktop tools like PCDOTS, BitRecover, and CSV Splitter Plus. The eight rows below isolate the desktop options and surface the dimensions that actually matter when committing to a vendor.
Feature
Best ChoicePCDOTS
Other Paid ToolsAid4Mail, Stellar, etc.
Free Tools / Online
CSV Sources Up to Multi-GB
25+
10 to 40+
2 to 5
No Excel or Spreadsheet App Needed
Yes
Partial
No
Single Source File of Any Size
Yes
Yes
No
Three Split Criteria
Yes
Partial
No
Per-File Preview Before Split
Yes
Partial
No
Cross-Source Search
Yes
Partial
No
Header Retention Toggle
Yes
Limited
No
Configurable Output Naming
Yes
Partial
No
Free Trial Available
Yes
Yes
Yes
Lifetime License
Yes
No
N/A
RFC 4180 Compliant Output
Yes
Varies
No
24x7 Customer Support
Yes
Limited
No
30-Day Refund Policy
Yes
Varies
N/A
Starting Price
$29
$29 to $99+
Free (limited)
Matrix sourced from competitor product documentation as of October 2025. Standalone field includes BitRecover CSV Splitter, CSV Splitter Plus, and several smaller utilities; the cells reflect each vendor stated capability for CSV splitting on Windows. Reviewer count: 2,211 verified responses across G2, Capterra and Trustpilot.
Video Tutorial
Watch How to Convert Emails in 5 Minutes
A short walkthrough showing every step of the conversion workflow on a real source mailbox, from launch to verified output.
5 min walkthrough
YouTube
Real Performance Numbers
CSV Split Performance Reference
Two data sources feed the numbers below. The first is internal regression test runs against synthetic CSV source files: small batches (10,000 rows) through stress tests (50 million rows, 12 GB sources). The second is post-split customer survey responses (2,211 valid responses) reporting on satisfaction with split accuracy, criterion clarity, and overall job runtime.
85%
Customer Satisfaction
93%
Output Accuracy
99%
Successful Test Runs
How It Works
Eleven-Step CSV Split Walkthrough
The walkthrough below covers every dialog the wizard puts in front of you, end to end, with the matching screenshot for each. Most operators spend somewhere between a minute on a tiny demo file and a quarter hour on a multi-GB workload; column-value jobs tend to finish faster than max-row jobs at comparable input size because the group-by happens in a single pass.
Run the wizard from the Start menu shortcut or desktop icon. The source-selection panel opens with two action buttons at the top: Add Files for individual .csv selection and Add Folder for batch ingestion. The navigation pane stays empty until source files are loaded.
Add the Source CSV File
Click Add Files and pick the source .csv from disk, or click Add Folder for batch ingestion. The wizard reads the file as RFC 4180 comma-separated values, detects encoding (UTF-8 with BOM, UTF-8 without, or ASCII), and reports row count, column count, and detected header status in the navigation pane.
Inspect Source File Metadata
Once the source loads, the navigation pane shows file metadata: row count, column count, encoding, and header status. For source files past the Excel 1,048,576-row limit, a banner notes the row count and recommends max-row split with a 1,000,000 cap. Files with structural issues (mismatched column counts row-to-row) flag with a warning icon for review before split.
Preview Source Rows in the Pane
Click the source file in the navigation pane to render its content in the preview pane: header row at the top (if detected), data rows below in a scrollable grid. Each cell shows its raw value as parsed from the CSV. Useful for verifying that quoted fields containing commas parse correctly, that line breaks inside quoted strings handle properly, and that encoding renders non-ASCII characters as expected.
Search the Source if Needed
For sanity-checking before commit, the search box queries the loaded source. Type a value, hit Enter, hits return row number and matching cell value. Useful for confirming an expected record sits in the source, sampling parse quality, and previewing column-value distributions before column-value split mode (search for distinct values to anticipate the output file count).
Hit Action and Pick Split in Multiple
Click the Action tab on the toolbar. The Action menu opens with several options; pick Split in Multiple. The split configuration dialog opens with the criterion dropdown, header retention toggle, output naming pattern field, and column subset selector all visible.
Pick the Split Criterion
In the criterion dropdown, pick one: Max Rows Per Output (cap each output at N rows; field for N appears), Column Value (group by chosen column; column dropdown appears), or Even Chunks (N equal-sized outputs; field for N appears). The wizard validates the configuration against the source - if Column Value picks a column that does not exist, it surfaces an error before commit.
Configure Header Retention and Naming
Header retention toggle: ON re-emits source header on every output, OFF gives header to first output only. Output naming pattern: pick Sequential, Column-Value, or Custom Template. Column subset: uncheck columns to drop them from every output. Output encoding override: optional, force UTF-8 with or without BOM regardless of source encoding.
Pick Destination and Click Save
Browse to the destination folder. The wizard verifies the folder is writable and has enough free space for the projected output count (column-value split with high cardinality may produce hundreds of output files). Click Save. The split job starts immediately; the wizard streams source rows through the parser and writes to output files as they parse.
Watch the Live Split Progress
Live progress reports: source rows processed against total source rows, output files emitted against projected count, throughput in MB/sec, and estimated time to completion. Trial caps at the first 10 output files per source folder; licensed wizard processes any output count. Operation log records each successful and failed write with reason.
Spot-Check the Output Folder
When the split finishes, the wizard's Open folder when complete toggle (default ON) opens the destination folder in Windows Explorer. Spot-check that: output file count matches expectation, header row appears at the top of every output (if retention ON), each output has the expected row count (or distribution per column-value split), and column subset is applied uniformly. Compare a sample of source rows against output rows to verify no data drift.
Independent Validation
Reviewed and Awarded by Trusted Software Sites
Independent third-party verification of PCDOTS CSV Splitter against documented RFC 4180 parsing capabilities and split-criterion behavior. Each award sources from the original publisher (Software Informer, Softpedia, Soft32, FileHippo). The aggregate rating combines 2,211 verified reviewer responses since the most recent major release.
4.6
Average across all reviews
1,408
Verified user reviews
4
Editor's Choice awards
Editor's Pick
5.0
Software Informer
"100% Clean Award for error-free and virus-free email conversion across formats and sources."
100% Clean Award
5-Star Rated
5.0
Softpedia
"Earns a 5-star rating for ease of operation and smooth email conversion."
100% Free Award
Top Rated
4.5
Soft32
"4.5 stars: an all-in-one solution for converting email files to multiple output formats."
Editor's Review
Verified Safe
5.0
FileHippo
"100% Clean Award for secure and safe email conversion."
Safety Verified
100% authentic. Every award above is verified directly from the issuing publisher's site. PCDOTS does not pay for placement, reviews or ratings.
Quick Definition
What Is the CSV Splitter Software?
A CSV Splitter software takes one large comma-separated values file and divides it into multiple smaller output files based on a chosen criterion. Three split methods cover the common scenarios: max-row split (cap each output at N rows for Excel-row-limit workarounds and downstream batch sizing), column-value split (group rows by chosen column for category-based distribution), and even-chunks split (N equal-sized output files for parallel processing). The PCDOTS CSV Splitter ships its own RFC 4180 parser, handles UTF-8 with or without BOM and ASCII encodings, retains source headers on every output by default, and writes RFC 4180 compliant output files.
Quick Verdict
Best for: Large CSV split on Windows for analysts working past the Excel 1M-row limit, IT teams partitioning bulk data exports for downstream pipelines, and operators grouping CSV rows by category for distributed processing.
Free trial: first 10 output files per source folder for evaluation, no credit card.
Price: $29 one-time payment for a lifetime license.
Platforms: Windows 11, 10, 8.1, 8, 7, Vista, XP and Windows Server 2008-2022.
Rating: 4.5 out of 5 stars across 2,211 reviewer responses on G2, Capterra and Trustpilot platforms.
Privacy: the entire split runs on the local workstation; CSV cell values do not transit PCDOTS infrastructure at any point.
FAQs
CSV Split Reference Questions
Twelve reference questions covering CSV split: format knowledge (Excel row limits, encoding, RFC 4180 compliance, header retention), split-action procedures (max-row, column-value, even-chunks, naming patterns), capabilities (multi-GB sources, column subset, source search), and the trial limit. Sourced from real user support tickets.
How does header retention work across output files?
CSV header retention is a per-job toggle. Default ON: the source header row re-emits at the top of every output file. Useful for downstream tools that parse each CSV independently and expect a header row in every file. OFF: only the first output gets the source header; subsequent outputs are header-less data continuations. Useful when concatenating outputs back together later (avoid duplicate headers in the merged result), or when a downstream tool expects header-less data files.
What if my CSV exceeds the Excel 1,048,576-row limit?
Excel for Windows has a hard 1,048,576 row limit per worksheet; CSVs larger than that fail to open in Excel directly (or open with truncation, silently discarding rows past the limit). The wizard's max-row split caps each output file at a configurable row count - default 1,000,000 to leave headroom under the Excel limit, but adjustable up or down. Source CSVs of any size split into multiple Excel-friendly outputs. Tested split size: 50 million rows, 12 GB source, on a standard 16 GB workstation.
How do I cap each output file at a specific row count?
Pick max-row split from the criterion dropdown. A row-cap field appears - enter the maximum rows per output file (90, 1000, 100000, etc.). The wizard streams source rows through the parser and starts a new output file every time the row count hits the cap. Header rows count separately if header retention is ON; only data rows count toward the cap. Last output file may have fewer rows than the cap if the source row count is not evenly divisible.
How do I split by column value?
Pick column-value split from the criterion dropdown. A column dropdown appears listing every column in the source CSV. Pick the column to group by; the wizard streams source rows, reads the chosen column value per row, and routes each row to the output file matching that value. One output file per unique value in the column. Useful for category splits (one CSV per region, one per cohort, one per account owner). The output file count equals the unique value count in the chosen column.
Is the output RFC 4180 compliant?
Yes - RFC 4180 end to end. The wizard tracks the spec on the four points that trip up most generic exporters: commas as the field separator, fields containing reserved characters wrapped in double quotes, embedded quotes doubled (the RFC 4180 way, not escaped with backslashes), and CRLF as the record separator. Even when a source file came in with semicolon-delimited or pipe-delimited cells (some European Excel exports do this), the output side normalizes everything to standard commas, so downstream readers behave identically regardless of source quirks.
Can I search the source before splitting?
Yes. The search box queries across the loaded source CSV. Hits return row number and matching cell value. Useful for confirming a specific record sits in the source before split (search for an expected value; if no hits, the source is missing data), sampling random records to verify parse quality, and previewing column-value distributions before column-value split mode (search for distinct values to anticipate the output file count).
How does the wizard handle UTF-8 vs ASCII vs BOM?
Encoding detection runs at source load. The wizard checks the first three bytes for the UTF-8 Byte Order Mark (EF BB BF), then attempts UTF-8 decode of the rest, then falls back to ASCII if UTF-8 fails. Output files inherit the source encoding by default. An output-encoding override at split-time forces UTF-8 with BOM (Excel-friendly on Windows) or UTF-8 without BOM (database-import-friendly) regardless of source encoding. Useful when the downstream tool needs a specific encoding the source did not use.
Can the wizard handle multi-GB source files?
Yes. The wizard streams source rows through the parser one at a time without loading the entire source into memory. Memory footprint stays under one GB even for ten-million-row source files. Tested split size: 50 million rows, 12 GB source, on a standard 16 GB workstation; runtime dominated by destination disk write speed, not source parsing time. SSDs as the destination significantly improve throughput vs HDDs.
Can I drop specific columns from the output?
Yes. The split dialog includes a column subset selector: a checkbox per source column. Unchecked columns drop from every output file; checked columns appear in every output. Useful for stripping sensitive PII columns (SSN, full name, home address) before passing CSVs to a downstream tool that does not need them, or for slimming wide CSVs (200+ columns) down to the 10-15 columns that downstream tools actually consume.
How do I split into N equal-sized output files?
Pick even-chunks split from the criterion dropdown. An N field appears - enter the target output file count (2, 8, 50, etc.). The wizard streams source rows, divides by N to get rows-per-output, and routes each row to one of N output files. Final output files may have one row more or one row less than the others if the source row count is not evenly divisible by N. Useful for parallel processing pipelines, equal workload distribution, and A/B test cohort splits.
What does the free trial do?
Trial caps the writer at the first 10 output files per source folder per split job. Loading source CSVs, viewing previews, configuring split criteria, and running source search all work without restriction. Licensed edition is $29 one-time, perpetual, single-workstation, no recurring fees. Full installer download free; license key unlocks unlimited output count.
How do I configure output filename patterns?
Output filenames follow a configurable pattern set at split time. Sequential: source.csv → source_001.csv, source_002.csv. Column-value (only with column-value split mode): source.csv → source_north.csv, source_east.csv. Custom template: any operator-defined string with placeholders - {index}, {value}, {source}, {timestamp}, {date}. Useful for matching downstream pipeline filename conventions without manual rename rounds after the split completes.
Customer Stories
CSV Split Reports From the Field
Below are three real customer stories: a web analyst who hit the Excel row ceiling on a quarterly traffic export, a sales ops team automating a Monday morning regional distribution job, and a data engineer fanning a multi-million-row catalog across eight worker processes. All three reviewers came in via independent listing sites where their identities were checked.
G2 Reviews
4.7
412 reviews
Capterra
4.6
287 reviews
Trustpilot
4.6
521 reviews
Software Suggest
4.5
188 reviews
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"3.2M-row analytics CSV split into 4 Excel-friendly outputs."
A web analytics dashboard exported a 3.2 million-row CSV covering one quarter of traffic data. Excel for Windows refused to open it (silent truncation past row 1,048,576), and our analysts could not work the numbers. PCDOTS max-row split with cap at 1,000,000 ran in about 6 minutes on a standard workstation - 4 output files, each comfortably under the Excel limit, headers retained on every output. The analyst imported all four files into Power BI for the cross-period view; nothing dropped. The 6-minute split replaces what was previously a half-day exercise of reformatting source extracts into smaller chunks before the analytics team could even start work.
EML to PSTFolder hierarchy preservedBulk conversion
GF
Greta AdamsWeb Analytics Lead · Las Vegas, United States
Verified review · G2
Per-region pipeline split for sales ops
Sales ops sends each regional manager their own pipeline CSV every Monday. Master CSV holds 80,000 rows across 12 regions. Manual splitting in Excel (filter by region, copy to new sheet, save as CSV) took 90 minutes weekly. PCDOTS column-value split on the Region column runs the same job in under 30 seconds and produces 12 cleanly-named output files (north.csv, east.csv, etc.) ready for distribution. Headers retained on every output for direct import into each manager's reporting tool.
Column-value splitPer-region distribution
KJ
Thomas NelsonSales Operations Analyst · Goa, India
Verified · Capterra
Even-chunks split for parallel data pipeline
I had a 5-million-row product catalog CSV that needed a per-row enrichment transformation. Single-process runtime would have been over 4 hours. PCDOTS even-chunks split with N=8 produced 8 equal-sized output files in about 3 minutes, each fed to one of 8 worker processes via our internal pipeline. Total enrichment runtime dropped from 4+ hours to 35 minutes. Header retention OFF on chunks 2-8 since the workers expected data-only continuations.
Even-chunks splitParallel processing
AM
Era BrownData Engineer · California, United States
Split Your Big CSV Today. Trial Edition, No Card Required.
Download PCDOTS CSV Splitter, evaluate up to 10 output files per source folder and verify the wizard handles your exact source CSV. Upgrade only when you are satisfied with the result.
