Dev tools · alternatives · 2026
24 alternatives to Parseflow
Hello HN, I built Parseflow, it's a simple, evidence focused extraction API which can extract take PDFs, DOCX and TXT files and extract/chunk the info inside them to improve LLM context and reduce token usage. If you want to try out a demo, you can find it here: demo.parseflow.tech I am still a student dev, graduating high school this year so I still have a lot to learn. I am trying to build this project to help pay for tuition this year but also to help me learn. So any feedback, advice, questions, etc... are super appreciated and either I will try to respond to the comments or you can…
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.
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Parseflow.io▲130Hi HN, I've been in software engineering for over 10 years and I'm excited to share my latest project, Parseflow (https://parseflow.io). It's a AI data automation platform designed to simplify data extraction from documents and integrate it effortlessly with your go-to applications. Parseflow can handle a variety of document types, including PDFs, images, and scanned documents. This means you can easily extract data from invoices, receipts, contracts, and more. Once you've extracted the data, you can integrate it with a variety of applications, including Google Sheets, QuickBooks,…
2024 · parseflow.io · its alternatives →
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Documind is an open-source tool that turns documents into structured data using AI. What it does: - Extracts specific data from PDFs based on your custom schema - Returns clean, structured JSON that's ready to use - Works with just a PDF link + your schema definition Just run npm install documind to get started.
2024 · github.com · its alternatives →
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Outlines is a Python library that focuses on text generation with large language models. Brandon and I are not LLM experts and started the project a few months ago because we wanted to understand better how the generation process works. Our original background is probabilistic, relational and symbolic programming. Recently we came up with a fast way to generate text that matches a regex (https://blog.normalcomputing.ai/posts/2023-07-27-regex-guide...). The basic idea is simple: regular expressions have an equivalent Deterministic-Finite Automaton (DFA) representation. We…
2023 · github.com · its alternatives →
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Context.dev▲814Hello, My name is Yahia, I've been working on scraping products for a long time and maintain a couple of free sites in my spare time (E.g. knifegeek.io) What prompted this is i've rebuilt scraping infra at every company I've started and finally just made it a product. Pass a URL, get clean markdown, html, images, sitemap or pass a domain, get logos, colors, socials, industry data. Goal is to offer a better service than VC funded competitors at a fraction of the cost. Stealth is included and automatic at no additional cost (normally an upcharge by alternatives). Would love your honest thoughts.
Jul 2026 · context.dev · its alternatives →
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AnyParser API▲885The first LLM for document parsing with accuracy and speed
2024 · cambioml.com · its alternatives →
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Improved file parsing for LLM’s. Contribute to Filimoa/open-parse development by creating an account on GitHub.
2024 · github.com · its alternatives →
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Hi HackerNews, Lately, I have seen an explosion in posts offering paid APIs/services to get unstructured data into LLMs (i.e. langchain extract, ragflow, unstructured, unstract, just to name a few) and I have been largely disappointed by them, either because they fail to implement multimodal support, fail to give good context for "really tricky" PDFs / Word docs / Powerpoints, or are just plain difficult to use. In light of all these posts I figured I'd share my solution that has been working smoothly for me and my clients. I put it up on GitHub for free so you can check it…
2024 · github.com · its alternatives →
- 8PA
Hi HN, Arek here. We’re super excited to officially launch PSPDFKit API [1]. PSPDFKit API is a collection of HTTP APIs that enable you to convert, generate, and edit documents without running any service on your infrastructure. What differentiates our API from others is that you can chain together multiple “actions” as part of a single API request. For example, you can convert, OCR, watermark, edit, and flatten a document — all in one call. Available actions [2]: - PDF Generator - PDF Converter - Image Converter - OCR - Watermark - Merge - Split - Duplicate - Delete - Flatten Our…
2022 · its alternatives →
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I built this tool because I wanted a way to just take a bunch of URLs or domains, and query their content in RAG applications. It takes away the pain of crawling, extracting content, chunking, vectorizing, and updating periodically. I'm curious to see if it can be useful to others. I meant to launch this six months ago but life got in the way...
2024 · embedding.io · its alternatives →
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Parsewise▲169Hi HN! We're X25 alumni and built Parsewise to analyze large document sets with AI agents. Instead of prompting a single PDF, our agents extract, cross-reference, and reason across thousands of documents in one run. We originally built this for insurance and financial diligence workflows where teams review huge document packs. Curious what the HN community thinks! Check out our public demos: demo.parsewise.ai/insurance-claims-triage demo.parsewise.ai/reinsurance-recovery-optimization demo.parsewise.ai/investment-diligence demo.parsewise.ai/mortgage-underwriting
Mar 2026 · parsewise.ai · its alternatives →
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Parsio 2.0▲153Automate data extraction with AI-powered document parser
2023 · parsio.io · its alternatives →
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We've been building data pipelines that scrape websites and extract structured data for a while now. If you've done this, you know the drill: you write CSS selectors, the site changes its layout, everything breaks at 2am, and you spend your morning rewriting parsers. LLMs seemed like the obvious fix — just throw the HTML at GPT and ask for JSON. Except in practice, it's more painful than that: - Raw HTML is full of nav bars, footers, and tracking junk that eats your token budget. A typical product page is 80% noise. - LLMs return malformed JSON more often than you'd expect, especially with…
Mar 2026 · github.com · its alternatives →
- 13AA
2013 · stamplin.com · its alternatives →
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The easiest way to programmatically populate any PDF
2020 · useanvil.com · its alternatives →
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Trellis AI▲151Let swarm of agents automate your most manual PDF tasks
2025 · runtrellis.com · its alternatives →
- 16
Parse PDF to Json with AI and BYO-JSON-Schema
2025 · pdftojson.dev · its alternatives →
- 17
Hey HN, solo dev here. After years of frustration with how LLMs handle complex documents, especially PDFs with tables, I decided to build a solution myself. My approach uses a Markdown conversion step to preserve the table structure, which seems to work surprisingly well for chunking. This little parser is the first public piece of a much larger, privacy-focused AI platform I'm building. I'm pretty much running on fumes financially, so any feedback, critique, or support is massively appreciated. Happy to answer any questions about the approach!
Nov 2025 · github.com · its alternatives →
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Crawlee—A web scraping and browser automation library for Node.js to build reliable crawlers. In JavaScript and TypeScript. Extract data for AI, LLMs, RAG, or GPTs. Download HTML, PDF, JPG, PNG, and other files from websites. Works with Puppeteer, Playwright, Cheerio, JSDOM, and raw HTTP. Both headf
2018 · github.com · its alternatives →
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Improved file parsing for LLM’s. Contribute to Filimoa/open-parse development by creating an account on GitHub.
2024 · github.com · its alternatives →
- 22FA
Hi HN, Like everyone, I'm working on an product that uses LLMs to extract data from photos and documents. Part of the processing pipeline is extracting data from PDFs as raw text or a raster image. As part of our leadgen strategy, we've opened our REST API that lets you process pages of a PDF. The API is completely free to use anonymously, but is rate limited to 1 page per 30 seconds. Creating a free account removes this restriction. The two endpoints are: - https://extract.dev/api/pages/extract/raster - Rasterize a page of a PDF -…
2025 · its alternatives →
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Uses hybrid semantic search (combination of dense embeddings and sparse vectors) to retrieve high quality answers across your documents. Features - Significantly faster than competition (Process a 200 page PDF in <5s) - Much better answer quality - Fast summarization tool - Beta API for end to end extractive document QA ([email protected]) Try it out (no login) - Llama 2 paper https://www.dankgpt.com/chat/346f444d-e286-4671-b157-540f4cb... - Scott Aaronson Quantum Information Science lectures…
2023 · dankgpt.com · its alternatives →
- 24
I was experimenting with building a local dataset generator with deep research workflow a while back and that got me thinking. what if the same workflow could run on my own files instead of the internet. being able to query pdfs, docs or notes and get back a structured report sounded useful. so I made a small terminal tool that does exactly that. I point it to local files like pdf, docx, txt or jpg. it extracts the text, splits it into chunks, runs semantic search, builds a structure from my query, and then writes out a markdown report section by section. it feels like having a lightweight…
2025 · github.com · its alternatives →
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