Want to bulk import TXT files into SQLite tables at one time?
Try Withdata FileToDB, a desktop TXT to SQLite converter for Windows, MacOS, and Linux, Convert TXT to SQLite, 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 TXT files to online services.
- Support Windows, Linux, and macOS.
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
Bulk import TXT files into SQLite tables
Login to SQLite -> Choose TXT files -> Set SQLite tables -> Import TXT files to SQLite tables
Choose SQLite and logon.
Click “Wizard – N Files To N Tables” at task dialog.
Select the “TXT” file type.
then show the wizard.
1. Select a folder that constains TXT files.
Support large ( > 4GB ) TXT files.
2. Config first TXT file importing options.
3. Set “Import Type”.
4. Map SQLite tables to TXT files.
5. Summary. Set “Convert Rows” and “Skip Rows” if need.
6. Import TXT files to SQLite tables, 1 file to 1 table, one by one.
View imported data in SQLite table
Bulk import TXT files into SQLite tables in command line
Save “bulk TXT files to SQLite tables” session, then you can:
- Bulk import TXT files into SQLite tables in Windows command line.
- Bulk import TXT files into SQLite tables in Linux command line.
- Bulk import TXT files into SQLite tables in macOS command line.
Set scheduled tasks for bulk importing TXT files into SQLite tables
You can schedule and automate this converting task by:
- Save session and create .bat (Windows) or .sh (Linux/macOS) file for “TXT to SQLite” conversion.
- Set scheduled task for “TXT to SQLite” conversion.
FAQ
More about Withdata FileToDB – TXT to SQLite 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: Bulk import data from TXT files into SQLite tables in one go
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