Want to import data from CSV file to PostgreSQL?
Try Withdata FileToDB, a desktop CSV to PostgreSQL converter for Windows, MacOS, and Linux, Convert CSV to PostgreSQL, Easy and Fast.
- Can run in GUI mode, Step by Step, just a few mouse clicks.
- Can run in Command line, for Scheduled Tasks and Streams.
- Convert locally and privately, avoid uploading large or private CSV file(s) to online services.
- Support Windows, Linux, and macOS.
Download Withdata FileToDB
Windows 64 bit
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Linux .deb (For Debian, Ubuntu) 64 bit
Linux .rpm (For Red Hat, Fedora, SUSE) 64 bit
MacOS 64 bit
Import data from CSV file to PostgreSQL
Login to PostgreSQL -> Choose CSV file -> Set PostgreSQL table -> Import CSV to PostgreSQL
Choose PostgreSQL and logon.
Click “Wizard – 1 File To 1 Table” at task dialog.
Select the “CSV” file type.
then show the wizard.
1. Open a CSV file.
Support large ( > 4GB ) CSV file.
Here is the file’s content.
2. Select a PostgreSQL table and config fields.
3. Preview data will be in PostgreSQL table.
4. Import CSV data to PostgreSQL.
View imported data in PostgreSQL table
Import CSV to PostgreSQL in command line
Save “CSV to PostgreSQL” session, then you can:
- Import CSV to PostgreSQL in Windows command line.
- Import CSV to PostgreSQL in Linux command line.
- Import CSV to PostgreSQL in macOS command line.
Set scheduled tasks for importing CSV to PostgreSQL
You can schedule and automate this “CSV to PostgreSQL” conversion task by:
- Save session and create .bat (Windows) or .sh (Linux/macOS) file for “CSV to PostgreSQL” conversion.
- Set scheduled task for “CSV to PostgreSQL” conversion.
FAQ
What is Withdata FileToDB?
How long does it take to import CSV data to PostgreSQL?
Is it safe to import CSV data to PostgreSQL using FileToDB?
Can I import CSV data to PostgreSQL on Linux, Mac OS?
Can I import CSV data to PostgreSQL in command line?
More about Withdata FileToDB – CSV to PostgreSQL converter
Download Withdata FileToDB
Windows 64 bit
Windows 32 bit
Linux .deb (For Debian, Ubuntu) 64 bit
Linux .rpm (For Red Hat, Fedora, SUSE) 64 bit
MacOS 64 bit
See Video: Import data from CSV file into PostgreSQL table in a few clicks
See also:
- PostgreSQL import multiple CSV files into a single table
- Bulk import CSV files into PostgreSQL tables
CSV → PostgreSQL reference
Type mapping
| Value kind | in CSV | in PostgreSQL |
|---|---|---|
| Int | 1234 | integer |
| Bigint | 9007199254740993 | bigint |
| Decimal | 1234.56 | numeric(p,s) |
| Float | 1.234e+10 | double precision |
| Text | quoted only when it contains a comma or a quote | varchar(n) |
| Long text | must be quoted; line breaks inside force multi-line records | text |
| Date | 2026-09-18 | date |
| Datetime | 2026-09-18 14:30:00 | timestamp |
| Binary | not representable - base64 or hex string | bytea |
| Boolean | TRUE / FALSE, or 1 / 0 depending on the writer | boolean |
| JSON | the whole JSON value quoted, with internal quotes doubled | jsonb |
Dialect differences
CSV is a file format and PostgreSQL is a database server, so the target has to be told the types the file never carried - the rows below are where the two sides diverge.
| Property | in CSV | in PostgreSQL |
|---|---|---|
| port | — | 5432 |
| identifiers | Double quotes; a literal quote is doubled ("" ) | "double quotes" |
| row limit | — | LIMIT n |
| dates | Conventional text: 2026-09-18 or 2026-09-18 14:30:00 | timestamp, timestamptz, date, time |
| long text | — | TEXT |
| binary | Not supported | BYTEA |
| separator | Comma "," | — |
| encoding | No declaration - UTF-8 works only with a BOM | — |
| typing | None - every field is text | — |
| shape | Flat table, optional header row | Tables of rows and columns |
| ceiling | No formal limit; row count bounded by memory | — |
Command line
| Side | Command |
|---|---|
| PostgreSQL | pg_dump or COPY ... TO |
| PostgreSQL (load) | COPY ... FROM |
Convert your data online, free
Free in-browser converters for CSV, Excel, JSON, XML and SQL: Withdata Online Data Conversion. Large files, batch conversion or scheduling? See the offline desktop apps, or browse all data conversion tools.