Kynvoxa is an API that extracts structured data from invoices, receipts, and tickets. Upload a PDF or image, get normalized JSON back ā with line items, totals, tax, vendor info, and confidence scores. Built for developers who need reliable document extraction without building their own ML pipeline.
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Maker
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Hey Product Hunt! š
I'm Keyner, the maker behind Kynvoxa.
**The problem I kept hitting:**
Every time I worked on a project that handled invoices or receipts, the same painful cycle repeated ā build an OCR pipeline, wrestle with inconsistent outputs, maintain fragile parsing logic. It felt like building the same thing over and over.
**So I built Kynvoxa** ā a simple API that does one thing well:
š Send a PDF or image of an invoice/receipt
š¦ Get clean, structured JSON back
That's it. No ML expertise needed. No infra to manage.
**What you get in the response:**
⢠Vendor info (name, tax ID, address)
⢠Financial data (subtotal, tax, total, currency)
⢠Line items with quantities and prices
⢠Dates, invoice numbers, payment terms
⢠A confidence score so you know when to flag for review
**Who it's for:**
Developers building expense apps, backoffice tools, accounting integrations, ERPs, or any automation that touches paper documents.
**How it works:**
1. `POST /v1/extractions` with your file ā instant 202 response
2. Document processed async with AI
3. `GET /v1/extractions/:id` or receive a webhook
4. Done ā structured JSON ready to use
**Pricing:** Free tier included so you can try it out with real documents before committing.
I'd genuinely love your feedback ā especially from developers who've dealt with this problem before. What would make this more useful for your workflow? š