Alternatives
Products that do what OxiMedia – Pure Rust Reconstruction of FFmpeg and OpenCV does
Author here. OxiMedia is a clean-room reconstruction of FFmpeg and OpenCV in pure Rust. v0.1.0, 92 crates, ~1.36M lines. Key decisions: `#![forbid(unsafe_code)]` workspace-wide, patent-free codecs only (AV1/VP9/Opus/FLAC -- no H.264/H.265/AAC ever), async on Tokio, zero C/Fortran deps in default features, native WASM target. This is v0.1.0 -- APIs are stabilized but not yet battle-tested at scale. Performance benchmarks vs FFmpeg/rav1e/dav1d coming soon. Feedback on API design welcome, especially the filter graph and transcoding pipeline. GitHub:…
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Hi HN, I built typed-ffmpeg, a Python package that lets you build FFmpeg filter graphs with full type safety, autocomplete, and validation. It’s inspired by ffmpeg-python, but addresses some long-standing issues like lack of IDE support and fragile CLI strings. What’s New in v3.0: • Source filter support (e.g. color, testsrc, etc.) • Input stream selection (e.g. [0:a], [1:v]) • A new interactive playground where you can: • Build filter graphs visually • Generate both FFmpeg CLI and typed Python code • Paste existing FFmpeg commands and reverse-parse them into graphs Playground link:…
2025 · github.com
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2016 · github.com
- 3VA
Hi HN, I built VidStudio, a privacy focused video editor that runs in the browser. I tried to keep it as frictionless as possible, so there are no accounts and no uploads. Everything is persisted on your machine. Some of the features: multi-track timeline, frame accurate seek, MP4 export, audio, video, image, and text tracks, and a WebGL backed canvas where available. It also works on mobile. Under the hood, WebCodecs handles frame decode for timeline playback and scrubbing, which is what makes seeking responsive since decode runs on the hardware decoder when the browser supports it. FFmpeg…
Apr 2026 · vidstudio.app
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Inspired by the "ffmpeg by examples" comments, here's a simple script that pulls it all together. Set your OpenAI API key env var and make the script executable, and you're golden.
2025 · github.com
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2024 · github.com
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- 7OS
Hey HN community! I'm one of the lead devs of this project at fal.ai and we created an open source lightweight video editor powered by the latest media AI models. The main goal was to tackle some challenges when dealing with complex media handling and encoding on the browser. It all started as an internal experiment but as we tackled some of the issues it was clear there could be some value sharing it with the open source community. Some of the key points and tech stack details: - It uses IndexedDb, so all data is local (i.e. no auth, no cloud db) - Multiple AI models for video, image, music…
2025 · github.com
- 8OP
Hi HN! I built Oxyde because I was tired of duplicating my models. If you use FastAPI, you know the drill. You define Pydantic models for your API, then define separate ORM models for your database, then write converters between them. SQLModel tries to fix this but it's still SQLAlchemy underneath. Tortoise gives you a nice Django-style API but its own model system. Django ORM is great but welded to the framework. I wanted something simple: your Pydantic model IS your database model. One class, full validation on input and output, native type hints, zero duplication. The query API is…
Mar 2026 · github.com
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2022 · github.com
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Vision models have been gaining popularity as a replacement for traditional OCR. Especially with Gemini 2.0 becoming cost competitive with the cloud platforms. We've been continuously evaluating different models since we released the Zerox package last year (https://github.com/getomni-ai/zerox). And we wanted to put some numbers behind it. So we’re open sourcing our internal OCR benchmark + evaluation datasets. Full writeup + data explorer here: https://getomni.ai/ocr-benchmark Github: https://github.com/getomni-ai/benchmark Huggingface:…
2025 · getomni.ai
- 11DA
I've been working on deconvolution, a comprehensive Rust image deconvolution and restoration library. Deconvolution implements 28 different image deconvolution/restoration methods which range from practical blur removal techniques to research-grade scientific imaging algorithms. Features: - Top-level functions use image::DynamicImage and return images - Inverse filters, Wiener, Richardson-Lucy, constrained, proximal, Krylov, MLE restoration - Blind Richardson-Lucy, blind maximum likelihood, parametric PSF estimation - Kernel2D, Kernel3D, Transfer2D, Transfer3D, Blur2D/Blur3D -…
Jun 2026 · github.com
- 12IM
Hey HN, I'm Adithya, a 20-year-old dev from India. I have been working with GenAI for the past year, and I've found it really painful to deal with the many different forms of data out there and get the best representation of it for my AI applications. That's why I built OmniParse—an open-source platform designed to handle any unstructured data and transform it into optimized, structured representations. Key Features: - Completely local processing—no external APIs - Supports ~20 file types - Converts documents, multimedia, and web pages to high-quality structured markdown - Table extraction,…
2024 · github.com
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Hey HN, just wanted to share my success story with CompressX, my FFmpeg wrapper for macOS. For those who may not be familiar, FFmpeg is a powerful tool for converting, streaming, and recording audio and video content. I started CompressX as a weekend project to serve my 9-5 jobs, primarily to compress demo videos for uploading to GitLab and sharing with my colleagues. It took me 2 weeks to make the first working version. I shared the demo on Twitter and the reaction was extraordinary. People loved it, they said that I was bringing the Pied Piper to life. Four months later, I hit the $9,000…
2024 · compressx.app
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tl;dr we built an embeddable stream processing engine in Rust using apache DataFusion, check us out at https://github.com/probably-nothing-labs/denormalized Hey HN, We’d like to showcase a very early version of our embeddable stream processing engine called Denormalized. The rise of DuckDB has abundantly made it clear that even for many workloads of Terabyte scale, a single node system outshines the distributed query engines of previous generation such as Spark, Snowflake etc in terms of both performance and cost. Now a lot of workloads DuckDB is used for were normally…
2024 · github.com
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I built a Rust-powered Wavelet Matrix library for Python. There were surprisingly few practical Wavelet Matrix implementations available for Python, so I implemented one with a focus on performance, usability, and typed APIs. It supports fast rank/select, top-k, quantile, range queries, and even dynamic updates. Feedback welcome!
Dec 2025 · pypi.org
- 17JA
Typed, functional (folds, scans) stream processing backed by Andrew Gallant/burntsushi's regular expressions library. There's a guide here! https://vmchale.github.io/jacinda/
2024 · hackage.haskell.org
- 18IB
Hi HN, Over the past few months, I've been building `dsc`, a tensor library from scratch in C++/CUDA. My main focus has been on getting the basics right, prioritizing a clean API, simplicity, and clear observability for running small LLMs locally. The key features are: - C++ core with CUDA support written from scratch. - A familiar, PyTorch-like Python API. - Runs real models: it's complete enough to load a model like Qwen from HuggingFace and run inference on both CUDA and CPU with a single line change[1]. - Simple, built-in observability for both Python and C++. Next on the roadmap is…
2025 · github.com
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2025 · github.com
- 20AC
AOO is a lightweight and flexible peer-to-peer audio streaming and messaging solution. It allows to send audio and messages in real-time and on demand between network endpoints - not only in local networks, but also over the public internet! The C/C++ library can be easily embedded in host applications or plugins. It even runs on embedded devices, such as the ESP32. In addition, the project contains a Pure Data external and a SuperCollider extension. The following article provides a high level introduction and demonstrates some use cases:…
2024 · aoo.iem.sh
- 21RW
Hi HN, I'm Holger, a developer who worked in the lighting industry. I built this to scratch my own itch and put it on crates.io and PyPI where nothing like it existed. The old file formats (EULUMDAT from 1990, IES from 1991) still work fine for basic photometry. But the industry is moving toward spectral data – full wavelength distributions instead of just lumen values. The new standards (TM-33, ATLA-S001) are barely supported by existing tools. So this handles both: legacy formats for compatibility, spectral data for anyone who wants to work with the new standards. Stack: Rust core, then…
Dec 2025 · eulumdat.icu
- 22MR
Hey HN! We’ve just open-sourced model2vec-rs, a Rust crate for loading and running Model2Vec static embedding models with zero Python dependency. This allows you to embed text at (very) high throughput; for example, in a Rust-based microservice or CLI tool. This can be used for semantic search, retrieval, RAG, or any other text embedding usecase. Main Features: - Rust-native inference: Load any Model2Vec model from Hugging Face or your local path with StaticModel::from_pretrained(...). - Tiny footprint: The crate itself is only ~1.7 mb, with embedding models between 7 and 30 mb. Performance:…
2025 · github.com
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2021 · github.com
- 24IC
This is an upgrade of a tool I created 15 years ago in Python to learn OOP and solve some inadequacies in the HDR stacking tools I could find at the time. The problem was, none of them were really "batch friendly". None of them properly preserved the metadata I wanted them to stuff into the output file. There were probably some other reasons also, I just can't remember them now. It got the job done, but was very slow. Python was what I knew at the time and even with NumPy, I was limited in the speed I could squeeze out of it. (I also made some very specific, conscious, architectural choices…
Jun 2026 · github.com
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