Free Hausa Transcription

Transcribe Hausa audio and video to text with AI. Fast, accurate, and free.

Ibikorwa

  1. Kuri i Free.ai
  2. Upload your Hausa audio or video file
  3. Our AI automatically detects Hausa and transcribes it
  4. Nka Umwandiko Cyangwa

Hausa Transcription Features

  • ✓ku 0
  • ✓Automatic Hausa language detection
  • ✓MP3, MP4,, na Birenzeho
  • ✓Na Kohereza
  • ✓Idosiye Ingano ku
  • ✓na -- Idosiye Cyasibwe Nyuma

Isesengurabyose

Ururimi:Hausa
Inyandikoporogaramuha
Imisusire0
Agaciro:Bitari ngombwa

Birenzeho Ururimi

Ururimi:

Ibibazo bizwa kenshi

Hausa is a less-resourced language for Whisper - large-v3-turbo sits above 25% word error rate, sometimes well above. The transcript is useful for search and gist but should not be treated as publication-ready. If a higher-accuracy engine becomes available for Hausa we wire it in automatically.(D, over 25% word error rate ku - Twebwe Gutangaza:% S.)

Yes - Hausa transcription draws from your daily free token pool first. Audio costs about 50 tokens per minute, so the anonymous daily pool covers a few hours of audio per day. Signed-in accounts get a larger 30,000-token daily pool. Past that, transcription is pay-as-you-go, with token top-ups from $1.

Hausa transcripts are returned in standard UTF-8 with the language's normal orthography.

MP3, WAV, M4A, FLAC, OGG, OPUS, and WEBM are accepted directly. For video (MP4, MOV, MKV) we extract the audio track server-side before sending it to Whisper - you do not need to convert anything yourself. Same pipeline regardless of source language, including Hausa.

Anonymous uploads cap at roughly 500 MB per file. Signed-in accounts go up to 2 GB. Duration is not a hard limit - long files are chunked automatically (30-second windows with overlap) and stitched back into a single transcript with continuous timestamps. Multi-hour Hausa recordings (podcasts, full lectures, meetings) work fine.

Yes - speaker diarization is on by default for every Hausa transcript. The output is segmented as Speaker 1 / Speaker 2 / Speaker 3 with timestamps, so interviews, panel discussions, and multi-party meetings come back labeled. Diarization runs on a separate model and works the same across all languages we support.

Yes - paste the URL into /transcribe/youtube/ for YouTube or /transcribe/podcast/ for podcast feeds (Apple, Spotify, RSS). We download the audio, run it through Whisper with language=ha, and return the transcript with timestamps and speaker labels. Typical Hausa content: lectures, interviews, voice notes, and YouTube content in Hausa all work - paste a URL into /transcribe/youtube/ or upload the file directly.

Whisper costs about 50 tokens per minute of audio, so a one-hour recording is ~3,000 tokens. Most users never spend anything - the free daily pool of 30,000 tokens covers short clips, voice notes, and one-off podcasts. Beyond it, transcription is pay-as-you-go, with token top-ups from $1.

Yes - both segment-level (every ~10-30 seconds) and word-level timestamps are available. Word-level is the default for VTT/SRT subtitle export so the captions sync line-by-line. On the API set timestamps="word" in the request body. Hausa transcripts are returned in standard UTF-8 with the language's normal orthography.

Yes. POST audio (multipart/form-data, field name "file") to /v1/transcribe/ with language=ha - or omit the language parameter to let Whisper auto-detect. Returns JSON with the transcript, segments, timestamps, and speaker labels. Full reference and SDK snippets at /api/.

Yes - once transcription finishes, click Translate or paste the text into /translate/. Hausa pairs with every other language we support (200+). For meeting minutes pipe the transcript through /summarize/; for dubbing send it to /voice/tts/ to render audio in the target language.

Whisper < > < / > Ku iyi Urwego: - i ni i Igiteranyo Bya Hausa Ijwi Whisper, OYA. Ijwi, Kugeza i Kubona ku A hejuru - Ibikorana: Ururimi:. If a transcript comes back unusable, email contact@free.ai with the file - we will refund the tokens and look at whether a different engine handles your audio better.

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