Transcribe English Audio or Video to Text
Upload any English recording — OpenAI Whisper detects the language automatically and returns an accurate transcript in seconds.
Drag a file here or browse
MP3, WAV, M4A, FLAC · MP4, MOV, MKV, WebM · up to 2 GB
Set language, translation, or vocabulary hints below before transcribing
YouTube, Dropbox, Google Drive, or any direct MP3/MP4 link
Not applied on Gemini 3.5 Transcribe — the model can't combine vocabulary hints with word-level timestamps
MP3, WAV, M4A, FLAC · MP4, MOV, MKV · up to 2 GB · 10 minutes free every day
About English transcription
A West Germanic language written in the Latin alphabet, English sits in an unusually comfortable position for automatic transcription. The Latin script maps sounds to letters in a way that is largely consistent enough for speech-recognition systems to work with, even if English spelling is famously irregular — that irregularity is a reading problem, not a listening one, and acoustic models work from sound rather than orthography. The bigger variable with English has always been accent: the phonological gap between a speaker from Chennai, one from Glasgow, and one from rural Georgia is substantial. On this platform, English has accumulated transcription data spanning American, British, Australian, and Indian accents, among others, which pulls those accent-driven accuracy gaps closer together than you would typically see. The practical effect is that you are unlikely to notice a meaningful drop in quality whether your audio comes from a London boardroom or a Sydney podcast studio.
OpenAI Whisper, MAI-Transcribe 1.5 and Gemini 3.5 Transcribe all support English, detected automatically from the audio — no manual language selection is needed. Upload any English recording up to 2 GB — MP3, WAV, M4A, FLAC, MP4, MOV, and most common audio and video formats are accepted. Every account includes 10 free minutes of transcription per day; longer files are billed at €0.02 per minute with a €0.50 minimum per transaction. Transcripts download as plain text and are automatically deleted within 24 hours of upload.
Available transcription models
10 min
Free every day
€0.02
Per minute beyond quota
< 1 min
Typical turnaround
Tips for the best results
- Use a quiet environment — background noise is the biggest source of transcription errors.
- Speak at a natural pace; extremely fast speech reduces accuracy in any language.
- MP3 or M4A files work great; uncompressed WAV is ideal for professional recordings.
- Files up to 2 GB are supported — long recordings are automatically split and merged.
Frequently asked questions
- How accurate is AI transcription for English?
- English transcription accuracy on convert.express is rated high, and the underlying reasons are fairly concrete. The Latin alphabet keeps the relationship between sound and written output straightforward for a recognition system. Beyond that, the platform has processed English audio across a wide range of accents — American, British, Australian, Indian — so the model is not calibrated to a single regional standard. That breadth keeps accuracy consistent even when speakers have distinct phonological patterns, rather than rewarding one accent and penalizing others.
- How long does English transcription take?
- Most English recordings are ready in under a minute. Processing time scales with file length — a 10-minute recording typically returns results in 20–40 seconds, and a one-hour recording in around 4–6 minutes. Longer files are automatically split, transcribed in parallel, and merged, so you never need to cut your audio before uploading.
- Can I translate English audio to English or other languages?
- Yes, two ways. For a quick English-only result, enable "Translate to English" in the upload options above — OpenAI Whisper transcribes and translates English audio to English text in a single pass, at no extra cost. For any other target language, first transcribe normally, then use the Translate action on the finished transcript in your dashboard — it's powered by Claude AI and can translate the English transcript (or its summary and action list) into any of convert.express's other supported languages, not just English.
- Which transcription model should I use for English?
- OpenAI Whisper, MAI-Transcribe 1.5 and Gemini 3.5 Transcribe all support English. OpenAI Whisper is the established choice, with broad language coverage and single-pass translation to English. MAI-Transcribe 1.5 is in preview, typically returns results faster, and supports entity biasing for proper names and terminology. Gemini 3.5 Transcribe is in preview, has the widest language coverage, and labels speakers in-model. Try them on a short clip to see which output suits your recording.
- What audio and video formats are supported?
- MP3, WAV, M4A, FLAC, OGG, Opus, MP4, MOV, MKV, and most other common audio and video formats are accepted. Files up to 2 GB can be uploaded. The language is detected automatically from the audio — no manual language selection is needed.
English · convert.express
A West Germanic language written in the Latin alphabet, English sits in an unusually comfortable position for automatic transcription. The Latin script maps sounds to letters in a way that is largely consistent enough for speech-recognition systems to work with, even if English spelling is famously irregular — that irregularity is a reading problem, not a listening one, and acoustic models work from sound rather than orthography. The bigger variable with English has always been accent: the phonological gap between a speaker from Chennai, one from Glasgow, and one from rural Georgia is substantial. On this platform, English has accumulated transcription data spanning American, British, Australian, and Indian accents, among others, which pulls those accent-driven accuracy gaps closer together than you would typically see. The practical effect is that you are unlikely to notice a meaningful drop in quality whether your audio comes from a London boardroom or a Sydney podcast studio. OpenAI Whisper, MAI-Transcribe 1.5 and Gemini 3.5 Transcribe all support English, detected automatically from the audio — no manual language selection is needed. Upload any English recording up to 2 GB — MP3, WAV, M4A, FLAC, MP4, MOV, and most common audio and video formats are accepted. Every account includes 10 free minutes of transcription per day; longer files are billed at €0.02 per minute with a €0.50 minimum per transaction. Transcripts download as plain text and are automatically deleted within 24 hours of upload.
- How accurate is AI transcription for English?
- English transcription accuracy on convert.express is rated high, and the underlying reasons are fairly concrete. The Latin alphabet keeps the relationship between sound and written output straightforward for a recognition system. Beyond that, the platform has processed English audio across a wide range of accents — American, British, Australian, Indian — so the model is not calibrated to a single regional standard. That breadth keeps accuracy consistent even when speakers have distinct phonological patterns, rather than rewarding one accent and penalizing others.
- How long does English transcription take?
- Most English recordings are ready in under a minute. Processing time scales with file length — a 10-minute recording typically returns results in 20–40 seconds, and a one-hour recording in around 4–6 minutes. Longer files are automatically split, transcribed in parallel, and merged, so you never need to cut your audio before uploading.
- Can I translate English audio to English or other languages?
- Yes, two ways. For a quick English-only result, enable Translate to English in the upload options above — OpenAI Whisper transcribes and translates English audio to English text in a single pass, at no extra cost. For any other target language, first transcribe normally, then use the Translate action on the finished transcript in your dashboard — it's powered by Claude AI and can translate the English transcript (or its summary and action list) into any of convert.express's other supported languages, not just English.
- Which transcription model should I use for English?
- OpenAI Whisper, MAI-Transcribe 1.5 and Gemini 3.5 Transcribe all support English. OpenAI Whisper is the established choice, with broad language coverage and single-pass translation to English. MAI-Transcribe 1.5 is in preview, typically returns results faster, and supports entity biasing for proper names and terminology. Gemini 3.5 Transcribe is in preview, has the widest language coverage, and labels speakers in-model. Try them on a short clip to see which output suits your recording.
- What audio and video formats are supported?
- MP3, WAV, M4A, FLAC, OGG, Opus, MP4, MOV, MKV, and most other common audio and video formats are accepted. Files up to 2 GB can be uploaded. The language is detected automatically from the audio — no manual language selection is needed.