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Dev tools · alternatives · 2026

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24 alternatives to $0.15/hr audio transcription API based on OpenAI Whisper

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!

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Prices are shown for the 1 we have checked on their own sites, 1 of them free or with a free tier. $0.15/hr audio transcription API based on OpenAI Whisper launched in 2022; newer entries below may have overtaken it.

  1. 1

    $0.15/hr audio transcription API powered by OpenAI Whisper

    2022 · whisperapi.com · its alternatives →

  2. 2

    Free AI transcription: convert video and audio to text, translate into 120 languages, download SRT, VTT, ASS or TXT, or export the video with subtitles on it.

    2022 · freesubtitles.ai · its alternatives →

  3. 3

    Hi HN, OpenAI recently released a model for automatic speech recognition called Whisper [0]. I decided to reimplement the inference of the model from scratch using C/C++. To achieve this I implemented a minimalistic tensor library in C and ported the high-level architecture of the model in C++. The entire code is less than 8000 lines of code and is contained in just 2 source files without any third-party dependencies. The Github project is here: https://github.com/ggerganov/whisper.cpp With this implementation I can very easily build and run the model - “make…

    2022 · github.com · its alternatives →

  4. 4

    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 · its alternatives →

  5. 5

    I was laid off recently and, instead of looking for another job right away, I decided to build something I always wanted: a transcription tool that respects user privacy. Existing transcription tools often require internet connectivity, send your private audio to cloud servers, or lock you into monthly subscriptions. I wanted something different—so I built WhisperBuddy, a privacy-first AI transcription app that runs entirely on your machine. WhisperBuddy uses OpenAI’s Whisper model (see: https://github.com/openai/whisper). While the model may not always deliver the…

    2025 · whisperbuddy.com · its alternatives →

  6. 6

    I wanted to share our new speech to text model, and the library to use them effectively. We're a small startup (six people, sub-$100k monthly GPU budget) so I'm proud of the work the team has done to create streaming STT models with lower word-error rates than OpenAI's largest Whisper model. Admittedly Large v3 is a couple of years old, but we're near the top the HF OpenASR leaderboard, even up against Nvidia's Parakeet family. Anyway, I'd love to get feedback on the models and software, and hear about what people might build with it.

    Feb 2026 · github.com · its alternatives →

  7. 7

    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 · its alternatives →

  8. 8

    Hey HN. I’m Ivan, hacker from Ukraine. For about a year, I was working on Listenly — an app to listen to text content with OpenAI's natural-sounding text-to-speech model. At some moment, I realized that it would be cool to take all the public domain e-books and create audio versions for them. So I did it... kind-of. It would cost an immense amount of money to generate all the audio right away (OpenAI TTS costs approximately $0.84/hour of audio; 11labs, for comparison, is 10 times more expensive). So, I took a more gradual approach. I took all the metadata from the Project Gutenberg…

    2024 · listenly.io · its alternatives →

  9. 9

    Fast voice-to-text on 92 languages

    2023 · lingvanex.com · its alternatives →

  10. 10

    Build Powerful Voice Agents

    2025 · openai.com · its alternatives →

  11. 11

    Create content from your audio

    2023 · whispertranscribe.com · its alternatives →

  12. 12

    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 · its alternatives →

  13. 13

    Hello all, I made a small transcription app for your Mac based on OpenAI’s Whisper. Would love some feedback. My plan is to make it easy to load weights from any fine-tuned whisper model to enable specialized dictation for any subfield. It’s still early in development. Thanks!

    2023 · twitter.com · its alternatives →

  14. 14

    Local AI dictation for Windows

    Aug 2026 · whisperstream.io · its alternatives →

  15. 15

    Local transcripts with speaker labels, timestamps, + export

    Dec 2025 · whispersnapper.com · its alternatives →

  16. 16

    Hi HN! Since the launch of JigsawStack.com, we've been trying to dive deeper into fully managed AI APIs built and fine tuned for specific use cases. Audio/video transcription was one of the more basic things and we wanted the best open source model at this point it is OpenAI's whisper large v3 model based on the number of languages it supports and its accuracy. The thing is, the model is huge and requires tons of GPU power for it to run efficiently at scale. Even OpenAI doesn't provide an API for their best transcription model while only providing whisper v2 at a pretty high price. I…

    2024 · github.com · its alternatives →

  17. 17

    Hi HN! Last year the project I launched here got a lot of good feedback on creating speech to speech AI on the ESP32. Recently I revamped the whole stack, iterated on that feedback and made our project fully open-source—all of the client, hardware, firmware code. This Github repo turns an ESP32-S3 into a realtime AI speech companion using the OpenAI Realtime API, Arduino WebSockets, Deno Edge Functions, and a full-stack web interface. You can talk to your own custom AI character, and it responds instantly. I couldn't find a resource that helped set up a reliable, secure websocket (WSS) AI…

    2025 · github.com · its alternatives →

  18. 18WV

    I'm working on making it easier to use open-source AI models by providing simple APIs. Last week, OpenAI released Whisper v3, which showed improved performance across all its 100+ supported languages. We tried to optimize it as much as possible to be able to offer it for $0.0028 per minute (vs $0.006 on OpenAI). I hope it's helpful for someone: https://www.lemonfox.ai/apis/speech-to-text

    2023 · its alternatives →

  19. 19

    Generate English subtitles for videos in any language

    2022 · its alternatives →

  20. 20

    High quality text transcription with OpenAI's whisper on Mac

    2023 · goodsnooze.gumroad.com · its alternatives →

  21. 21
    Harku▲3

    Hi HN! I'm the founder of Harku (https://harku.io ), a video/audio transcription tool I've been working on for the past few months. The backstory: I was frustrated with existing transcription services - they either required expensive subscriptions upfront, had poor accuracy for non-English content, or forced you to create accounts just to try them. As someone who frequently works with meeting recordings and content in multiple languages, I needed something better. Technical approach: - Built on OpenAI's Whisper V3 (latest model) for 98.5% accuracy - GPU-optimized processing…

    Feb 2026 · harku.io · its alternatives →

  22. 22

    Hi HN, I'm a longtime web dev, but this is my first macOS app. Feedback is very welcome <3 I built TongueType because every dictation app I tried failed at least one of three things: it sent my audio to someone's cloud, it charged me monthly fee, or it felt clunky or enterprisy. The cloud thing kills it for anything sensitive. The subscription thing is insulting for what amounts to "Whisper + a hotkey." TongueType runs Whisper locally on Apple Silicon via CoreML. It's built to feel like a second keyboard: tap the hotkey, talk, let go, words appear. It sits in the menu bar (no dock icon, no…

    May 2026 · tonguetype.app · its alternatives →

  23. 23

    Use OpenAI Whisper for free audio transcription

    2024 · whisperapi.com · its alternatives →

  24. 24

    Easy audio transcription from your macOS desktop

    2024 · aiaudiokit.pages.dev · its alternatives →

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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →