Can I import multiple TXT files into one Access table?

Yes! FileToDB supports merging hundreds of TXT files into a single Access table with one click, keeping data structure consistent.

Import TXT to SQL Server | Withdata FileToDB - Bulk/Update/Upsert TXT to SQL Server

Convert Any TXT File to SQL Server in 4 Simple Steps

Withdata FileToDB is the all-in-one solution for importing TXT to SQL Server. It supports single/multiple/bulk TXT import, pipe/semicolon delimited TXT, and advanced update/upsert operations. All data processes locally for 100% security.

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Full TXT Format Support

Support pipe delimited (|) TXT, semicolon delimited (;) TXT, tab-delimited TXT, and custom delimited TXT. Auto-detect delimiters and keep perfect data formatting.

Multiple Import Modes

1 file → 1 table, multiple TXT files → single SQL Server table, bulk TXT files → multiple SQL Server tables. Meet all batch import requirements.

Update & Upsert Data

Update existing SQL Server records by key fields, or use upsert (insert + update) to add new data and refresh matching records automatically.

GUI + Command Line

Easy-to-use wizard interface for beginners, CLI mode for automation. Support scheduled tasks via Windows Task Scheduler / Crontab.

High-Speed Large File Support

Import millions of rows and 4GB+ large TXT files quickly without lag or data loss. Preview data before importing.

How to Import TXT to SQL Server

FileToDB provides wizards for all scenarios: single file, multiple files, bulk import, delimited TXT, update and upsert. Follow the universal workflow below:

Step 1: Connect to Your SQL Server Database

Launch FileToDB, enter your SQL Server server, port, username, password, and target database (support Windows/SQL Server authentication), and connect. 📷

Step 2: Choose Import Mode & Load TXT Files

Select the matching wizard: 📷

1 File to 1 Table - Single TXT file to one SQL Server table 📷
N Files to 1 Table - Multiple TXT files into one single table 📷
N Files to N Tables - Bulk import TXT files to multiple tables 📷

Set delimiter (| / ; / tab) and encoding for pipe/semicolon delimited TXT files.

Step 3: Configure Data Mapping & Mode

Map TXT columns to SQL Server fields, set date/number formats, and choose import mode: 📷

Normal Import: Overwrite or append data
Update: Refresh existing records by key field
Upsert: Insert new rows + update matched rows

Step 4: Preview & Start Import

Preview the first 10 rows to verify data correctness, set error logs if needed 📷, then click Start to import TXT data to SQL Server 📷.

Frequently Asked Questions

Can I import multiple TXT files into one SQL Server table?

Yes! FileToDB supports merging hundreds of TXT files into a single SQL Server table with one click, keeping data structure consistent.

How to import pipe/semicolon delimited TXT to SQL Server?

Just select the corresponding delimiter (| or ;) in the wizard, the tool will parse and import the TXT data correctly automatically.

Can I update existing SQL Server data from a TXT file?

Absolutely. You can set a unique key (e.g. ID), and the tool will only update matching records without affecting other data.

What is upsert and how does it work?

Upsert = Update + Insert. It will update existing records that match the key, and insert new records that do not exist in SQL Server.

Is my data secure during the import process?

100% secure. All operations run locally on your computer, no data is uploaded to any cloud server.

Does it support large TXT files over 4GB?

Yes, FileToDB is optimized for large files and can import 4GB+ TXT files smoothly with high performance.

What SQL Server versions does FileToDB support?

FileToDB support SQL Server 2000, 2005, 2008, 2008 R2, 2014, 2016, 2017, 2019, 2022, 2025.

Which operating systems are supported?

Windows (32/64-bit), Linux (Debian, Ubuntu, Red Hat, Fedora), macOS (64-bit) — full cross-platform support.

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Free trial available | Full functionality for TXT to SQL Server import, update, upsert, bulk processing

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Compatible with Windows 10/11, Ubuntu 20+, Debian 10+, macOS 10.15+

Import TXT to SQL Server Effortlessly