Chat with PDFs, CSVs, Excel files, and databases in one AI workspace
PDF chat tools are useful when your work lives in PDFs. ChatWithDB is built for business data that lives across documents, spreadsheets, exports, and database records, with cited answers you can verify.
PDF plus spreadsheet analysis
Ask questions across a contract, a CSV export, and an Excel-style operations table without switching tools.
Database-backed reporting
Turn plain-English questions into retrieval over PostgreSQL records, vector context, and uploaded documents.
Verifiable business answers
Return citations that point back to the original file, table, or row context before you use the answer.
Why teams outgrow PDF-only chat
Real workflows rarely stop at one PDF. Sales teams need CSV exports, finance teams need spreadsheet tables, operators need logs, and analysts need database records. ChatWithDB combines document RAG with structured retrieval so answers can cite the evidence that matters.
Ask one question across uploaded files and structured records.
Use natural language SQL patterns without opening a database console.
Verify answers through file, table, and row-level context.
Build reusable libraries for reports, research, sales operations, and internal knowledge.
ChatPDF alternative FAQ
Is ChatWithDB a ChatPDF alternative?
Yes. ChatWithDB can be used as a ChatPDF alternative when you need AI chat over PDFs plus CSV files, Excel spreadsheets, Word documents, text files, and database records.
When should I choose ChatWithDB instead of a PDF-only chat tool?
Choose ChatWithDB when your workflow includes structured business data, spreadsheet exports, database records, or answers that need row-level source verification.
Does ChatWithDB support natural language SQL?
Yes. ChatWithDB supports natural language querying over database-backed records and combines structured retrieval with cited document answers.