Alternatives
Products that do what Data Extraction with Flexible Schemas does
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.…
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Hi HN! I’m Alex from Parabola (https://parabola.io). Parabola is a visual programming tool for creating functional data flows that everyone can use. It’s entirely drag-and-drop, handles data sizes much larger than a traditional spreadsheet, calculates everything live, and can run your flows on a schedule of your choosing. I used to work in strategy consulting, doing data analytics for SMBs and Fortune 500 companies. The amount of time wasted on menial tasks was astounding. Things like cleaning data, generating custom reports, creating human workflows to solve shortcomings in third…
2018 · parabola.io
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Extract web data into structured JSON, no scraper required.
Jun 2026
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2021 · github.com
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ExtractBench - A Benchmark for Schema-Guided Enterprise Document Extraction - run-llama/ExtractBench
26d ago · github.com
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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…
Sep 2025
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Hey HN, I have been working in the last weeks on the task of automatically extracting a table of contents from a raw (audio or video) transcript, aka a 'chaptering' task. That turned out to be more difficult than I inially thought, especially because I needed to keep the timestamp data, and because I had to deal with long transcripts, and LLMs tend to 'forget' part of input data when it is too long. I was also surprised that I could not find any open-source solution for that, in standard libraries like Langchain or LLamaIndex, despite the wide range of possible use cases (text summarization,…
2024 · huggingface.co
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We build LlamaExtract, a tool that allow you to automatically extract a data model from a collection of documents, and then reusing this datamodels (JSON Schema) to extract data from documents. Available as a Python library and as an API. Announcement blog: https://www.llamaindex.ai/blog/introducing-llamaextract-beta...
2024 · github.com
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Hey HN, as a former data analyst, I’ve been tooling around trying to get agents to do my old job. The result is this system that gets you maybe 80% of the way there. I think this is a good data point for what the current frontier models are capable of and where they are still lacking (in this case — hypothesis generation and general data intuition). Some initial learnings: - Generating web app-based reports goes much better if there are explicit templates/pre-defined components for the model to use. - Claude can “heal” broken charts if you give it access to chart images and run a…
Mar 2026 · rubenflamshepherd.com
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2021 · herondata.io
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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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Hi everyone, Anuj here, Dataherald CEO. There are a bunch of EXTERNAL data sources in the world that people use a lot -- think census data, Bureau of Labor Statistics (unemployment, inflation), but even proprietary data sources. I was tired of getting these into useable data pipelines every time I need need to use them. Dataherald simply creates data pipelines to hundreds of data sources and then lets you create auto-updating data viz -- all in under 60 seconds. The goal is to enable non-tech users to more easily use data, which has been a huge problem for me throughout my career. We…
2022 · medium.com
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I built a CLI tool in Go that extracts structured data (JSON, CSV, Parquet) from messy PDFs and HTML pages. The core idea: LLMs are great at understanding structure but wasteful for bulk data extraction. So smelt uses a two-pass architecture: 1. A fast Go capture layer parses the document and detects table-like regions 2. Those regions (not the whole document) get sent to Claude for schema inference — column names, types, nesting 3. The Go layer then does deterministic extraction using the inferred schema This means the LLM is never in the hot path of actual data processing. It figures out…
Mar 2026 · github.com
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Hey HN! I am a FE dev who is working at a software agency and im making 2-3 estimates per week. Creating estimates is painfull manual proccess, where you have to read a lot of .docx like RFP, SRS etc. This was really tiring for me Also in agency where im working we make estimates in google spreadsheets which is another pain, trying to drag something, copy, duplicate can really mess up the whole layout So i just wanted tool that can just automate this a bit. I just started researching and I couldnt find anything good enough for my usecase. So I made a tool for creating estimates with AI. I…
2025 · devtimate.com
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Hello It's been quite frustrating to find an online tool that will easily extract tables from PDFs. So I built one. https://www.tablex.dev Hope you enjoy it.
2023
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Hi there, We've spent the last couple of years building our fixed income data API, but so far you had to contact us to get access. This release is targeted towards the fintech community. We understand the difficulties of sourcing fixed income data, and dealing with all the restrictions and countless calls with customer representatives. You can now register, get an API key, and start fetching bond data in minutes, without having to speak to anyone - a first in the fixed income data space. We are making a subset of our government and corporate bonds available via our self-serve API, with…
2024 · terrapinfinance.com
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