Invofox – the API to turn ANY document into structured, verified data
Hey HN! We’re Alberto, Carmelo, and Adrian, the founders of Invofox (https://invofox.com/) — the document processing AI built for software companies and developers. We started two years ago with invoice processing, but we’ve since expanded our capabilities to include utility bills, purchase orders, bank statements, pay slips, receipts, and checks. Why launch on Hacker News now, especially since we’re S22 batch? As we’ve grown, one of the most common questions we hear is: “Can Invofox handle this document type too?” To solve this, we’ve just launched Custom Documents…
What it does
In the maker’s words, at launch
Hey HN! We’re Alberto, Carmelo, and Adrian, the founders of Invofox (https://invofox.com/) — the document processing AI built for software companies and developers. We started two years ago with invoice processing, but we’ve since expanded our capabilities to include utility bills, purchase orders, bank statements, pay slips, receipts, and checks. Why launch on Hacker News now, especially since we’re S22 batch? As we’ve grown, one of the most common questions we hear is: “Can Invofox handle this document type too?” To solve this, we’ve just launched Custom Documents (https://bit.ly/customdocs) — a feature that lets you turn any document into structured, verified data. Here’s what makes it special: - No field mapping headaches: Instead of just giving you raw key-value pairs, Invofox delivers a consistent schema for each custom document type. This means you don’t need to remap fields to fit your data model—saving time and effort. - One-stop shop: With Invofox, you will be able not only to parse your documents, but also to separate and classify them, verify the data they contain, and outsource any HITL task you need to perform on the results. - Security first: Invofox is ISO 27001, SOC 2 Type 2, and HIPAA compliant, so your data is always protected. As a thank-you to the HN community, we’re offering *1,000 free documents/month for one year* (that’s 12,000 documents in total). Sign up here: https://www.invofox.com/en/hackernews-form to claim your free credits! For developers, our Developer Hub(https://developers.invofox.com/) has everything you need—guides, documentation, and support—to get started with Invofox or customize integrations. So far, we’ve served around 150 clients and processed tens of millions of documents, giving us unmatched experience in data quality, operational efficiency, and security. If you have questions, feedback, or ideas, I’d love to hear them—feel free to ask us anything! Best, Alberto, Carmelo, and Adrian!
Does the same job
all alternatives →


- PAParsePoint – AI OCR that pipes any invoice straight into Excel2025 · parsepoint.app · ▲9
Hi HN, I run a small ecommerce shop and, until recently, spent way too many evenings copy-pasting supplier invoices into Excel so my books stayed clean and my expense tracking was granular. It finally hit me that I’d rather invest that time in code than in Ctrl-C/Ctrl-V, so I built ParsePoint.app. Why I built it • Manual invoice entry was swallowing 4 hours every month. • Accounting software APIs felt heavyweight for my use-case; I really just wanted clean rows in a spreadsheet. • I love tinkering with AI models and needed an excuse to spin one up in production. What it does 1. Upload a…

More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com


Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com

