Dynamite Docs

About Dynamite Docs

Dynamite Docs is an AI document extraction workspace for accountants, bookkeepers, and small business owners. It extracts named fields and table rows from invoices, receipts, statements, and other supported PDFs or images using AI models from OpenAI, Google Gemini, Anthropic, Mistral, or local Ollama. Users review extracted data beside the original document, correct uncertain values, and export the accepted result to Excel, CSV, JSON, Google Sheets, or through APIs and webhooks.

The tool eliminates the need for fixed extraction templates or model training. When users confirm a column name or correct a field during review, the system saves the pattern and applies that structure to future files from the same vendor. It supports hosted processing, bring-your-own-key provider accounts, and local inference with Ollama. The workspace integrates with Google Drive, Google Sheets, Zapier, Make, n8n, and custom webhooks for end-to-end automation.

• workflow automation
• accounting software
• api-integration
• document processing
• ocr
• ai extraction
• invoice extraction

FAQ

What types of documents can Dynamite Docs read?

Dynamite Docs accepts single- and multi-page PDFs, scanned documents, receipt photos, Word files, spreadsheets, presentations, and email files. Complex tables and image quality issues like skew, blur, glare, and compression can reduce accuracy.

Can I use my own AI provider keys?

Yes. Every signed-in plan can connect supported provider keys or an OpenAI-compatible endpoint. Free and Starter own-key processing shares the monthly allowance; Pro and Scale own-key runs cost zero page-equivalents and the provider bills its own usage.

Is there an API or webhooks for automation?

Yes. On Starter and above, you can use API tokens to submit documents, fetch extracted data, and trigger webhooks whenever an extraction finishes. You can also export directly to Google Sheets.

Do I need to create templates or train a model?

No. Dynamite Docs proposes fields and rows from the document layout without requiring templates or model training. When you confirm a column name or correct a field during review, the saved pattern can guide later files with the same layout.

How is this different from extracting data in an AI chat?

General AI chat windows lack side-by-side visual PDF validation, cell-level confidence scores, reusable layout memory, multi-page batch processing, one-click Google Sheets sync, and automated API webhooks. Dynamite Docs keeps source files and structured tables in one review workspace.