openai-whisper — alternative #1 to OpenAI speech-to-text documentation
A general-purpose automatic speech recognition model trained on 680k hours of multilingual and multitask supervised data.
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Every candidate below sits in AI. What ends up on this page is decided entirely by a recorded score — not by bidding, not by editor taste. Review both records, check current vendor terms, then decide.
A general-purpose automatic speech recognition model trained on 680k hours of multilingual and multitask supervised data.
Low-latency, fully modular voice-agent pipeline integrating voice activity detection, speech-to-text, LLMs, and text-to-speech via an OpenAI...
C/C++ speech-to-text inference library running 16+ model families on the ggml runtime with GPU acceleration.
AI-powered code assistant for Vim and Neovim. Generate code, edit text, and have interactive conversations with GPT models. Supports custom...
Each candidate is a live catalogue record in the same primary category, picked by a deterministic score that Oryxen records in its catalogue: how many meaningful words the two listings share, whether their pricing classes oppose (a paid product against a free one), whether both are open source, and whether either record is featured. The same catalogue state always produces the same list — no randomness, no manual ranking.
No. Rows are ordered only by the recorded score, highest first, with alphabetical ties — payment never influences the order, nothing here is paid placement, and Oryxen charges no listing or placement fee.
Always verify current terms with OpenAI speech-to-text documentation directly — Oryxen records pricing classes, not live quotes.