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Products that do what Kreuzberg v3.0 – Modern Python Document Extraction does
I'm excited to announce Kreuzberg v3.0, which was released yesterday. Kreuzberg is an MIT licensed Python library that extracts text from a wide range of documents (PDFs, images, office files etc.) without depending on external APIs dependencies. Its different from other libraries and commercial offerings in this space by being designed to be (1) lightweight, (2) CPU orientated, (3) simple to user and (4) have async support as a first class citizen. The v3.0 release completely reworks the architecture for extensibility. Kreuzberg now now supports: - Multiple OCR backends (Tesseract,…
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2014 · github.com
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2016 · willmcgugan.com
- 3PP
Hi everyone! I just released the Practical Python Projects book! (https://practicalpython.yasoob.me) I am happy to announce the first version as a release candidate. I have poured a lot of love into writing this book and would love to hear what you guys think. (A limited 100% off and discount coupons at the end) This is not a pure beginner book. The book does assume some background Python knowledge. You need to know the basics like methods, functions, classes, and such. If I use something that is not typically covered in beginner Python books, I will explain it before I use it.…
2021 · practicalpython.yasoob.me
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- 5AL
Hi HN! I am Maria, solo founder of DataQA (https://dataqa.ai/), a tool to search and label documents for various NLP tasks (e.g. entity extraction, entity linking, etc). I have worked as a data scientist and ML engineer for the better part of a decade, and over that time have specialised mainly in applications involving natural language processing (NLP). One of the key questions I have always had at the back of my mind is whether my time was well spent. Whenever I spent more time on feature engineering or trying different models, I always wondered whether I would get better…
2021
- 6PA
2011 · jitouch.com
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- 8PT
2017 · github.com
- 9UA
2016 · github.com
- 10FA
2019 · functorflow.org
- 11DE
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
- 12PO
Google Docs for Python basically. For the past 4 months, I’ve been working on a full-stack project I’m really proud of called PyTogether; a real-time collaborative Python IDE designed with beginners in mind (think Google Docs, but for Python). It’s meant for pair programming, tutoring, or just learning Python together. It’s completely free. No subscriptions, no ads, nothing. Just create an account, make a group, and start a project. Has proper code-linting, live drawings for note-taking or teaching, voice chat, an extremely intuitive UI, autosaving, and live cursors. There are no limitations…
Nov 2025 · pytogether.org
- 13OS
I’ve been working on Code2Docs, an open-source CLI tool that helps developers automatically generate inline documentation (docstrings + comments) for Python code using AI. It’s built to solve a common problem I’ve faced (and seen often in teams): We code by "vibe" — fast iterations, minimal docs, and then forget what the logic was months later. Code2Docs helps bridge that gap by documenting as you go — without breaking your flow. Right now it supports function-level documentation. Planned features include: - README.md generation for projects - API endpoint docs - Database schema…
2025 · code2docs-open-source.netlify.app
- 14SA
Hi HN, I built an AI-powered OCR API designed to extract highly structured JSON data from complex documents like global passports, IDs, receipts, and shipping containers. We recently rolled out our Python and Node.js SDKs. Just wanted to share it with the community.
Jun 2026 · structocr.com
- 15MC
multilspy is a cross-platform library designed to simplify the process of creating language server clients to query and obtain results of various static analyses from a wide variety of language servers that communicate over the Language Server Protocol. It is easily extensible to support any language that has a Language Server and currently supports Java, Rust, C# and Python. We aim to continuously add support for more language servers and languages. Language servers are tools that perform a variety of static analyses on code repositories and provide useful information such as type-directed…
2024 · github.com
- 16SP
I built Sculptor after repeatedly seeing founders try to hire data scientists for a task that ultimately boiled down to extracting structured data from unstructured text (customer records, social posts, websites, etc) using an LLM API. We ended up reinventing this pattern internally at least three times in the past year, so I published Sculptor as a streamlined, open-source solution: - Simple schema-based extraction, with parallelization and type validation. - Multi-step pipelines with filtering or transforms between steps. - Configure everything in YAML/JSON for easy reuse. It’s MIT…
2025 · github.com
- 17OS
Companion is a free, open-source web app, featuring a Python REPL environment with an AI Tutor designed to support one’s learning and problem-solving in programming. I am leveraging the Hermes 3 405B model from Nous Research, hosted on Lambda’s Inference API. It's community-driven, 100% free, and open to all. I’d love your feedback and suggestions. Here's a short video where I demo the tool: https://www.youtube.com/watch?v=4Plt_sh_cIg&ab_channel=Rahul
2024 · companionai.dev
- 18UI
Hey everyone! I am excited to share updates on four of my & my teams' open-source projects that take large-scale search systems to the next level: USearch, UForm, UCall, and StringZilla. These projects are designed to work seamlessly together, end-to-end—covering everything from indexing and AI to storage and networking. And yeah, they're optimized for x86 AVX2/512 and Arm NEON/SVE hardware. USearch [1]: Think of it as Meta FAISS on steroids. It's now quicker, supports clustering of any granularity, and offers multi-index lookups. Plus, it's got more native bindings than probably…
2023 · usearch-images.com
- 19CC
2016 · dailypy.com
- 20AT
2010 · github.com
- 21ZC
The full Python source code for zunzun.com online curve and surface fitting is at https://bitbucket.org/zunzuncode/zunzunsite3
2018
- 22AC
2013 · platipy.com
- 23PE
2014 · pyscaffold.readthedocs.org
- 24ML
2017 · github.com
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