I Built an Open Source API with Insanely Fast Whisper and Fly GPUs
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…
I Built an Open Source API with Insanely Fast Whisper and Fly GPUs launched on February 18, 2024 with 13 votes, #1,135 of 3,962 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 2 years on.
In plain words
JigsawStack offers a managed API for audio and video transcription using OpenAI's Whisper Large v3 model, an open-source model that supports many languages with high accuracy. The service runs on Fly GPUs to handle the substantial computational demands efficiently. It targets developers who need fast, scalable transcription at lower latency than existing alternatives. The API provides access to Whisper's best model variant through a fully managed interface without the long processing times associated with other cloud providers.
written from the facts on this page · September 2026
From the sources
An API to transcribe audio with OpenAI's Whisper Large v3! - InterfazeAI/insanely-fast-whisper-api
In the maker’s words, at launch
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…
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Moonshine Open-Weights STT models – higher accuracy than WhisperLargev3Feb 2026 · github.com · ▲316I 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.
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