Alternatives
Products that do what Whisper Direct does
Lets you use your OpenAI key for affordable transcription
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Hey HN! Braden here, creator of Whispering, an open-source speech-to-text app. I really like dictation. For years, I relied on transcription tools that were almost good, but they were all closed-source. Even a lot of them that claimed to be “local” or “on-device” were still black boxes that left me wondering where my audio really went. So I built Whispering. It’s open-source, local-first, and most importantly, transparent with your data. Your data is stored locally on your device, and your audio goes directly from your machine to a local provider (Whisper C++, Speaches, etc.) or your chosen…
2025 · github.com
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2022 · freesubtitles.ai
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A few years ago, right after high school, I decided to try to make a simultaneous translation app for Android as a side project, it took longer than expected (about 2 years) and I had to make a lot of compromises (I had to use Google's API and therefore make users use a developer key because at the time there were no free solutions for speech recognition and translation that had good quality). At the end of university, I decided to pick it up again and finally, using OpenAi's Whisper for speech recognition and Meta's NLLB for translation (with both running locally on the phone), I managed to…
2024 · github.com
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Schibsted created a transcription service for our journalists to transcribe audio interviews and podcasts really quick.
2023 · github.com
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2022 · whispermemos.com
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I built Whispering because I believe transcription is too fundamental a tool to be locked behind paywalls. It's a cross-platform desktop and web transcription app that turns speech into text with a keyboard shortcut, among other things. The app lets you bring your own API key (OpenAI, Groq, etc.) and make direct calls. If you want complete privacy, it also supports local transcription. Either way, your audio never goes through any middleman servers. It's super lightweight (~22MB), built with Svelte 5 and Tauri, and works on Mac, Windows, and Linux. I've been using it daily for the past few…
2025 · github.com
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Hey HN! I've been working on a side project to create an audio transcription API based on the OpenAI whisper model. Sign up link: https://whisperapi.com I tried to make the API really easy to use and get setup with. Also, because the Whisper model is so good, turns out I can offer the service for about 75% cheaper than what seems like the industry average. I'm always looking to make improvements, so would appreciate any feedback anyone has!
2022 · whisperapi.com
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I built Open WhisperScribe after struggling with the complexity, paywalls, or limitations of most speech-to-text tools for macOS and elsewhere. My main requirements were: Simple, <5-min setup Runs fully offline, locally (no data leaves your machine) Works seamlessly in any app — just press a hotkey, speak, and your words appear where your cursor is (code editors, terminal, you name it) Fast and distraction-free It uses OpenAI’s Whisper model under the hood, but wraps it in a lightweight CLI tool that sits quietly in the background. The project is open source (Apache 2.0). Setup is a single…
2025 · github.com
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