DynamiteDocs
AI Powered Document Extraction
Dynamite Docs extracts tables, line items, and totals from invoices, receipts, and multi-page PDFs with zero templates. Convert unstructured documents into clean, structured data, review every number side-by-side with confidence flags, then export directly to Excel, Google Sheets, or your API.
Features
- Extract fields and tables from PDFs, scans, images, and office files
- Handle different document layouts without setting up templates
- Review extracted data beside the original document and correct values inline
- Process multiple documents in batches
- Export reviewed data to Excel, CSV, JSON, or Google Sheets
- Connect workflows through an API and webhooks
- Connect Your Own AI Models or Process files through Local Ollama Companion App
Use Cases
- Turn invoices and receipts into rows for accounting review
- Extract transactions and balances from bank statements
- Capture line items and totals from purchase orders
- Structure fields from contracts, forms, and vendor documents
- Prepare document data for spreadsheets or internal systems
- Process uploaded documents in an application through the API
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Comments
I built Dynamite Docs because getting usable data out of documents still takes too much copying, checking, and spreadsheet cleanup. Invoices, receipts, statements, and forms all arrive in different layouts, so I wanted a simpler workflow: upload a file, extract its fields and tables, review the result beside the original, and send the checked data where it needs to go. Use your own AI Keys or connect to local Ollama companion for private data extraction. DynamiteDocs is live, and I’d love to hear what documents you work with and where extraction slows you down. Your feedback will help shape what we build next.
Showing the extracted numbers next to the original page with confidence flags answers the "can I trust this?" question before anyone exports. To your question on documents: which do people bring first, invoices or bank statements? Search note: I googled "extract line items from invoices to excel without templates" (Google, US settings). Page 1 is Tavnit, BankGPT, InvoiceXLSX, Ztract, Airparser, Lido, ImageToTable and InvoiceDataExtraction. DynamiteDocs isn't on it yet, and several of those rank with a single focused page for that exact job, so a dedicated invoice-line-items page could compete. I run AI Knows Us, so this kind of search check is what I do.
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Comments
I built Dynamite Docs because getting usable data out of documents still takes too much copying, checking, and spreadsheet cleanup. Invoices, receipts, statements, and forms all arrive in different layouts, so I wanted a simpler workflow: upload a file, extract its fields and tables, review the result beside the original, and send the checked data where it needs to go. Use your own AI Keys or connect to local Ollama companion for private data extraction. DynamiteDocs is live, and I’d love to hear what documents you work with and where extraction slows you down. Your feedback will help shape what we build next.
Showing the extracted numbers next to the original page with confidence flags answers the "can I trust this?" question before anyone exports. To your question on documents: which do people bring first, invoices or bank statements? Search note: I googled "extract line items from invoices to excel without templates" (Google, US settings). Page 1 is Tavnit, BankGPT, InvoiceXLSX, Ztract, Airparser, Lido, ImageToTable and InvoiceDataExtraction. DynamiteDocs isn't on it yet, and several of those rank with a single focused page for that exact job, so a dedicated invoice-line-items page could compete. I run AI Knows Us, so this kind of search check is what I do.
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