Alternatives
Products that do what Document extraction with human feedback loop does
About the feature: We built a tool for automatically assessing business health from complex management financial documents and bank statements. In order to get this working reliably, we had to iterate extensively on the prompts for the structured output at the field level. This led us to building a feature to allow users to improve them too, and with some context engineering, we have what we are calling “feedback loops”. Here is a 2 min demo https://www.youtube.com/watch?v=ZDNlEZydoXU How it works (video runs through these steps): 1. Create a target form for your extraction…
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Hi HN, I'm Jared from Drafting AI (https://getdrafting.com/). We're a Chrome extension that helps operations and customer support teams work through their inboxes more efficiently. Here's a quick demo video: https://www.youtube.com/watch?v=PCDqAMaYx2Q We believe AI can be deployed more widely when you mitigate hallucinations through human-in-the-loop review. This led to two decisions: 1. A Chrome Extension is ideal for presenting actions in third-party apps for human review. When AI suggests issuing a refund via Shopify, what better way to show it than through…
2024 · getdrafting.com
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2014 · impraise.com
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Turn any bank statement PDF into Excel, CSV or JSON with AI
May 2026 · bankstatementlab.com
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Hey! We’ve built a data extraction tool to flexibly automate data and document processing. You’ve probably seen a few of these, so have we! A few of us have been varyingly stuck trying to automate the extraction of borrower financials for the past 5 years. We think that there are a few missing features of most data extraction tools. * They are usually too complex to quickly get up and running * They are overly constrained in terms of what workflows and documents they support We’ve always felt like speed and flexibility were sticking points, so we went slightly orthogonal to the alternatives.…
2024 · go.sea.dev
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Hey HN, We’re two developers (co-founders) with a team of 20 who got tired of spending hours reviewing PRs, so we built Infinitcode.ai, an AI-powered code reviewer that: - *Summarizes PRs in plain English*: No more deciphering 1,000-line diff jungles - *Catches more than bugs*: Security holes, performance pitfalls, code smells, even typos (yes, we’ll flag “vurnerabilities” and vulnerabilities) - *Zero onboarding*: Works instantly—no “let me learn your codebase for weeks” nonsense. Why we’re posting: We’re in alpha and need brutal honesty. Roast our tool, mock our UI, or tell us why AI will…
2025 · infinitcode.ai
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No AI magic. Fallback + Auditability Document workflow.
Mar 2026 · recaptureocr.com
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Hey there! Signals is a survey system that collects feedback from staff (mostly) but also clients and stakeholders in a business. It does this via SMS on a weekly schedule (the cadence can be changed but it works best when done weekly). My co-founder and I started working on this nearly a year ago, having run similar small builds for over four years. This time we’ve tried to do it properly. The execution is relatively simple - similar to an eNPS (Net Promoter Score - a common way of measuring how consumers like your product or service), but we wanted a way to anonymously pass candid feedback…
2023 · runsignals.com
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Hi, I'm building an open-source self-hostable document extraction tool powered by LLM. There are popular data extraction tools and OCR tools in the market. None of them are open source. Most accounting firms, law firms, insurance, back office, and real-estate folks would like to use a tool like this. You can add PDF documents, Images, and audio files and create columns to answer questions on documents or extract information into tabular format. Access to repo: https://github.com/harishdeivanayagam/rowfill Screenshots:…
2025 · github.com
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Hey HN! Last week, Joe Barrow released CommonForms [1], a set of open models for automatically detecting form fields in PDFs. He trained two models, FFDNet-S and FFDNet-L, on a dataset of 55k documents. You can read more about his approach in the arXiv paper [2]. As someone who's been searching for reliable models to auto-detect form fields (one of the last hard problems in PDF form filling), I was seriously impressed by the quality of these models. I wanted to give them the attention and distribution they deserve, so I created a fully browser-based implementation that handles both detection…
Oct 2025 · commonforms.simplepdf.com
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2015 · docrev.org
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Hi HN! I built Docuglean, an open-source SDK for intelligent document processing that works with OpenAI, Mistral, Google Gemini, and Hugging Face models. The idea came from repeatedly writing boilerplate code to extract structured data from invoices, receipts, and other documents. Instead of wrestling with different API formats, I wanted a unified interface that: - Extracts structured data using Zod/Pydantic schemas - Classifies and splits multi-section documents (e.g., medical records) - Processes documents in batches with automatic error handling - Works locally without APIs (for…
Nov 2025 · github.com
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