
Echosnap Ai
Hi everyone, I’m a solo developer and I’ve been working on a small tool called Echosnap AI. I built it because I often get ideas while I’m walking or doing something else, and speaking always felt like the fastest way to capture them. Echosnap lets you record a note and instantly get a clean transcript. It can also translate your recordings and help you stay organized with tags and folders. I tried to keep the app as simple and minimal as possible. This is my first time sharing something on HN, so any feedback or suggestions would mean a lot. Thanks for taking a moment to check it out.
Echosnap Ai launched on November 25, 2025 with 62 votes, #429 of 9,796 launches that month and more than 90% of that year's launches.
What it does
Echosnap is your AI-powered voice notes. Record anything on the go, receive a perfectly formatted transcript within seconds, and transform your words into summaries, action points, and you can neatly organize with Folders and tags.
Does a similar job
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Echo2024 · echonotes.ai · ▲192Hi everyone - My cofounder, Reuben, and I have been working on Echo, a voice & text, mobile-first, note-taking app that uses GPT-4o to organize your thoughts and bring them to life. Download here: https://apps.apple.com/us/app/echo-ai-notes/id6503351019 How Echo works: 1. Write or record notes. We recommend going for a walk and just rambling. Echo works well with unstructured thoughts. 2. Echo automatically organizes your notes into topics. 3. You can ask Echo questions, and it will use your notes to generate a response. We launched in the App Store on Sep 3.…
Audioscribe2024 · audioscribe.wordware.ai · ▲302Free and open-source AI to turn voice into structured notes

Echo Notes2025 · echonotes.fr · ▲10After 6 months of development, I'm launching Echo Notes, a tool that transforms audio recordings into organized notes with automatically extracted action items. The problem I was solving for myself was losing important details in meetings. I'd find myself frantically typing notes while trying to stay present in conversations, ultimately doing both poorly. Technical implementation: - Built with Next.js and DaisyUI for the frontend - Custom audio visualization using Canvas API with real-time frequency analysis - Backend transcription pipeline using OpenAI's Whisper API - Post-processing with a…

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