Analyze
Transcribe any audio file with GPT-4o Transcribe — faithful text, no paraphrasing, diarization where supported.
Upload audio. Get text. No invention.
OpenAI's flagship STT, powered by GPT-4o — lower word error rate than Whisper. Great for meetings. GPT-4o Transcribe converts audio (or audio-rich video) into text without paraphrasing, summarizing, or censoring. Strengths: speech-to-text, low word-error rate, 99 languages. Use it for podcast transcripts, meeting notes, lecture captures, interview prep, and accessibility captions. Diarization, language hints, and custom vocabulary are exposed where the model supports them — picked up directly from the model's parameters.
Five steps to a clean, citable transcript.
Use-cases that benefit from faithful text-from-audio.
Show notes & SEO
Turn every episode into searchable text for show notes and on-site SEO.
Citable record
Generate citable transcripts of internal meetings, then summarize separately.
Pull-quote sourcing
Stop scrubbing audio for the perfect quote — let GPT-4o Transcribe do the heavy lifting.
Accessibility
Generate clean caption transcripts for video — pair with your editor of choice.
Why people pick this model
GPT-4o Transcribe is consistently picked for speech-to-text — it shows up first on OpenAI's own published model card and again in real-world side-by-side tests.
Where it edges the competition
Low Word-Error Rate is the named differentiator on GPT-4o Transcribe versus other OpenAI releases — useful when this is the axis that actually matters for your output.
Concrete use-cases that justify a dedicated landing page.
And why pinning the model matters.
Transcription models differ on faithfulness — some paraphrase under load, some censor profanity, some quietly drop filler words. GPT-4o Transcribe is a faithful-transcript model; it preserves what was said, including the rough edges you might want for cross-examination, citation, or accessibility. Strengths: speech-to-text, low word-error rate, 99 languages, long-form audio.
Small adjustments that meaningfully improve output quality.
GPT-4o Transcribe is an AI transcription model built by OpenAI. OpenAI's flagship STT, powered by GPT-4o — lower word error rate than Whisper. Great for meetings. On Gab AI it's available as a standalone, pinned tool — runs through the same orchestrator, credits, and file pipeline as chat.
Anyone with a Gab AI account can run GPT-4o Transcribe. Each run deducts the model's per-request credit cost from your balance — there's no surprise per-month fee.
Credit cost is set on the underlying GPT-4o Transcribe model, not on this tool. The form recalculates and displays the exact cost as you change audio length and diarization settings, so you see the bill before you submit — never after.
GPT-4o Transcribe supports the languages its provider does — pick a language hint in the form when offered, otherwise auto-detect handles common languages well.
No. GPT-4o Transcribe returns a faithful transcript including filler and profanity. If you need a cleaned version, run the transcript through a downstream text tool — keep the raw transcript for citation.
Because every model is different and the multi-model picker quietly hides those differences. Pinning GPT-4o Transcribe to its own tool gives you predictable cost, consistent style, and a fair lane for comparing one model's output against another's without confusing the cause of the difference.
Yes — every model gets the same kind of landing page. Use the catalog at /tools to browse all model-playground tools, or pick a different one from the related tools section below.
Every run lands in your Tool Runs (under My Library). You can revisit, download, fork, or continue any run in chat for follow-up work.
One model, one form, one good result.
Stop arguing with a model picker mid-project. Pin GPT-4o Transcribe as your engine of choice, run the form above, and let the orchestrator handle credits, file storage, and run history exactly the way it does for chat. Everything you generate is yours, saved to your Tool Runs, and ready to fork or continue.