Video2SRT
Hello HN! I’m a bachelors student pursuing Artificial Intelligence, Robotics and Signal processing and during the year I had the goal to build my first AI Tool and launch it. I got inspired by how capable Whisper is, and combined the Whisper CPP Bindings along with FFMPEG.Wasm to create a tool that is capable of transcribing and captioning video files that contain one or more video tracks. Along with that, I’ve also added the support for transcribing audio files with the option to export those outputs as .SRT, .WebVTT or simply a text file. All done privately on a user’s web browser with…
What it does
In the maker’s words, at launch
Hello HN! I’m a bachelors student pursuing Artificial Intelligence, Robotics and Signal processing and during the year I had the goal to build my first AI Tool and launch it. I got inspired by how capable Whisper is, and combined the Whisper CPP Bindings along with FFMPEG.Wasm to create a tool that is capable of transcribing and captioning video files that contain one or more video tracks. Along with that, I’ve also added the support for transcribing audio files with the option to export those outputs as .SRT, .WebVTT or simply a text file. All done privately on a user’s web browser with WebAssembly. The only internet connection that is required is to download a particular model. You can check out my project here: https://video2srt.ccextractor.org and I’d love to hear your ideas, feature requests, and feedback ^_^ You can check out the source code on: https://github.com/ccextractor/video2srt <3 - Matej
Does the same job
all alternatives →- YCytcast – cast YouTube videos to your smart TV from command-line2022 · github.com · ▲227
hi, this is a project I've been working on and off for the last three months, it's my first non-trivial, non-hello-world, actually useful (at least to me) go project. it would be very nice if you could just try the program and see if it works on your setup! the readme[0] explains how it works, why I wrote it and how it fits in my "command-line centric" computing environment (there is also a video demo[1] :)). if you know go, feel free to take a look at the code and review it! I'm still pretty much new to go and I'd love to hear opinions, feedback and tips from more seasoned go developers :)…
- IBI built an instant transcription service for any YouTube video2024 · transcrib.ee · ▲8
Hey HN! I built Transcrib.ee to help me generate transcripts for lectures on YouTube with no captions, especially multilingual lectures. I was constantly frustrated with videos that had no transcripts or inaccurate ones, so I built a tool and decided to share it with everyone. This tool uses Groq (an AI inference engine that's different from Grok and offers very fast processing) and OpenAI's Whisper model (really accurate in multilingual) to quickly transcribe any YouTube video, regardless of the language. It's been a game-changer for my studies! To make it even faster, I created a Chrome…


- IVInstant video edits with local Whisper models (macOS)2025 · cutword.com · ▲5
Hi HN, I’m Ben, long time web developer but this is my first time building a macOS app. I film a lot of tutorial and talking-head content and wanted to make it easier to chop out mistakes. So I built CutWord, a macOS app that lets you mark cue points with voice commands while you’re recording. Once the app downloads a Whisper model everything runs locally, so nothing leaves your machine. You can export a trimmed video directly from the app or export a FCPXML file that can be imported into Final Cut or DaVinci Resolve for finishing. Built with SwiftUI and AVFoundation. TestFlight:…
- IPI packaged decade of video infra battle scars into tools for AI agentsMar 2026 · ▲7
Hi HN, I’m Ashu, founder of VideoDB. I’ve spent a big chunk of my life building video infrastructure. Not video creation. Video plumbing. The stuff you only learn after production breaks: timebases, VFR, keyframes, audio sync drift, container quirks, partial uploads, live streams, retries, backpressure, codecs, ffmpeg flags, cost blowups, and “why is this clip unseekable on one player but fine on another”. This week we shared VideoDB Skills, a skill pack that lets AI agents call those infra primitives directly, instead of you wiring pipelines with screenshots plus FFmpeg glue. Repo:…
More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 16d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com


Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 26d ago · cactuscompute.com


Launched alongside, August 2023
the whole month →



Lottielab▲871Create and ship lottie animations to sites and apps faster
Dev tools · 2023 · lottielab.com
- LC
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…
AI · 2023 · github.com