Invofox turns any document into clean, structured JSON through one API. Get 99%+ accuracy backed by SLAs. If we make a mistake, you don’t pay for that document. Invofox handles parsing, extraction, validation, edge cases, and monitoring behind one endpoint, then automatically learns from your feedback to keep improving on the documents your business actually processes.
We started Invofox because we kept watching good engineering teams lose entire quarters to document processing. The weekend prototype always works. Then come the scanned faxes, the multi-document PDFs, the tables that span three pages, the tax IDs that only appear in the footer, and suddenly two engineers are maintaining an OCR pipeline instead of building the product.
So we built the pipeline once, properly: intake, dual-pass OCR, splitting, classification, extraction, cross-field validation, confidence scoring, provenance, and a feedback loop that keeps improving on your specific documents. You POST a file to one endpoint and get validated JSON back.
For the last few years that only existed behind an enterprise contract. We were heads-down serving some of the largest tech companies and enterprises in Europe and the US, and honestly, we never built a way for a small team to just try it.
That always felt wrong.
Today that changes. Invofox Self-Serve is the same pipeline and the same accuracy bar, available with a signup form instead of a sales call. Two things we care about most: accuracy is part of our SLAs, and any document where we make a mistake is completely free. Pricing is per page, it goes down with volume, and there are no credit systems to decode.
For Product Hunt: the free tier is 500 pages with no credit card, and we're adding 1,000 extra pages on top for anyone who signs up from here.
Bring us your worst document. The one that broke your last parser. We'd genuinely like to see it, and we'll be in the comments all day.
PDFs from the wild are built different. Always some sideways scan or mystery table waiting to ruin your parser lol. Grats on the launch! @alberto_gimeno@nachogabaldon@carmelo_juanes
Congrats on the launch, Alberto, Nacho, and the Invofox team. Turning accuracy into a billing rule (credit the page if a field is wrong) plus reconciling line items to totals is rare among OCR APIs. On multi-page invoices where VAT and subtotals drift by a few cents, does cross-field validation flag that before the webhook fires, and do the flagged fields come back with page/region provenance so finance can spot-check without reopening the PDF?
sla backed extraction, you dont pay for mistakes - bold move 👏 congrats! what doc types break it most?
sla backed extraction, you dont pay for mistakes - bold move 👏 congrats! what doc types break it most?
Id love to see some real world benchmarks comparing extraction accuracy across invoices from different countries and formats.
The validation and feedback side caught my attention. Getting reliable structured data is usually harder than simply reading the document.
The API first approach makes a lot of sense here. Document parsing sounds simple until you have to deal with different layouts and inconsistent fields. Nice solution.
The concept of consolidating the entire document extraction pipeline into a single API is excellent.
Putting a guaranteed SLA and a no pay on mistakes rule behind document extraction is a confident move, and it is the pricing model that made me look twice. Learning from feedback on the specific document types a business actually handles should help accuracy compound over time. Does the model get per customer fine tuned or does it stay shared?
Great idea! Am I allowed to create my own schema for different types of documents or select predefined schemas such as invoices, receipts, and bank statements? Additionally, Congratulations @nachogabaldon , @alberto_gimeno & team Invofox Self Serve ✌️🚀
@alberto_gimeno How well does Invofox handle Messy or low quality scanned documents, that's usually where document parsing gets really difficult.
About Invofox Self Serve on Product Hunt
“99% accurate document extraction, SLA guaranteed”
Invofox Self Serve launched on Product Hunt on October 5th, 2026 and earned 322 upvotes and 25 comments, earning #3 Product of the Day. Invofox turns any document into clean, structured JSON through one API. Get 99%+ accuracy backed by SLAs. If we make a mistake, you don’t pay for that document. Invofox handles parsing, extraction, validation, edge cases, and monitoring behind one endpoint, then automatically learns from your feedback to keep improving on the documents your business actually processes.
Invofox Self Serve was featured in API (98.8k followers), Developer Tools (521.1k followers) and Artificial Intelligence (481k followers) on Product Hunt. Together, these topics include over 229.2k products, making this a competitive space to launch in.
Who hunted Invofox Self Serve?
Invofox Self Serve was hunted by Ben Lang. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Invofox Self Serve stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Hey Product Hunt 👋
We started Invofox because we kept watching good engineering teams lose entire quarters to document processing. The weekend prototype always works. Then come the scanned faxes, the multi-document PDFs, the tables that span three pages, the tax IDs that only appear in the footer, and suddenly two engineers are maintaining an OCR pipeline instead of building the product.
So we built the pipeline once, properly: intake, dual-pass OCR, splitting, classification, extraction, cross-field validation, confidence scoring, provenance, and a feedback loop that keeps improving on your specific documents. You POST a file to one endpoint and get validated JSON back.
For the last few years that only existed behind an enterprise contract. We were heads-down serving some of the largest tech companies and enterprises in Europe and the US, and honestly, we never built a way for a small team to just try it.
That always felt wrong.
Today that changes. Invofox Self-Serve is the same pipeline and the same accuracy bar, available with a signup form instead of a sales call. Two things we care about most: accuracy is part of our SLAs, and any document where we make a mistake is completely free. Pricing is per page, it goes down with volume, and there are no credit systems to decode.
For Product Hunt: the free tier is 500 pages with no credit card, and we're adding 1,000 extra pages on top for anyone who signs up from here.
Bring us your worst document. The one that broke your last parser. We'd genuinely like to see it, and we'll be in the comments all day.