Free chiArabu Transcription

Kushandura chiArabu audio uye video kuita tebhu neAI. Yakanaka, yakakwana uye yemahara.

Maitiro Ekushanda

  1. Tora ku Free.ai Transcriber
  2. Kuisa yako chiArabu audio kana video faira
  3. Our AI otomatiki inowana chiArabu uye inonyora
  4. Dhawunirodha transcript yako setext kana SRT subtitles

chiArabu Transcription Features

  • Yakagadzirwa ne faster-whisper (MIT licensed)
  • Kuwana chiArabu rurimi otomatiki
  • Supports MP3, WAV, MP4, M4A, FLAC, uye zvimwe
  • Time stamps uye subtitle export (SRT)
  • Hapana faira resize limits pazvirongwa zvakabhadharwa
  • Private and secure -- files are deleted after processing

Mamwe

ChirunguchiArabu
ISO Codear
AI Modelfaster-whisper
Mutengo_Dambudziko:

Mamwe Matauro

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FAQ

Whisper zhinji-v3-turbo anobata chiArabu zvakasimba — 7-15% mashoko matambudziko rate pa benchmark audio. Kutarisira nguva dzose zvisimbiso pazita entities, nhamba, uye hurefu technical vocabulary; zhinji ye transcript achave zvakanaka.(Tier B, 7-15% word error rate pa benchmark sets — isu tinoburitsa zvakarurama WER tiers kupfuura zvekutengesa zvikumbiro.)

Yeah — chiArabu transcription inotora kubva kune yako yezuva nezuva yemahara token pool yekutanga. Audio inodhura nezve 50 tokens paminetsi, saka iyo anonyyme yezuva nezuva pool inosvika pamazuva mashoma eaudio pazuva. Akaunti akanyorwa anowana 30,000-token yezuva nezuva pool. Pashure pezvo, transcription ibhadhara-se-unoshandisa, ne token top-ups kubva pa $ 1.

Arabic inogadziriswa paModern Standard Arabic (MSA) level ne default. Egyptian, Levantine, Gulf, uye Maghrebi colloquial mashoko anozivikanwa asi anoshandurwa mu MSA orthography — Whisper haizozvishandure kuita romanize kana kuchengeta dialect-specific spellings. For pure MSA news/lecture audio expect tier-B accuracy; heavy Maghrebi or Egyptian colloquial pushes that lower.

MP3, WAV, M4A, FLAC, OGG, OPUS, uye WEBM zvinobvumidzwa zvakananga. Kuti uwane video (MP4, MOV, MKV) isu tinotora iyo audio track kubva panzvimbo ye server-side mushure mekutumira kune Whisper — iwe haufanire kushandura chero chinhu iwe pachako. Imwecheteyo nzira pasina kuenderana nezwi remutauro, kusanganisira chiArabu.

Anonymus uploads cap panenge 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 chiArabu recordings (podcasts, full lectures, meetings) work fine.

Yeah — mutauro diarization iri pa default yese chiArabu transcript. The output is segmented se mutauro 1 / mutauro 2 / mutauro 3 ne timestamps, saka mubvunzo, panel misangano, uye multi-party misangano vachidzoka labelled. Diarization inofamba pane zvakasiyana model uye inoita sezviri pakati pezvose zvitauro isu tinotsigira.

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=ar, and return the transcript with timestamps and speaker labels. Typical chiArabu content: mashoko clips, maseremoni, mavhesi, uye masangano ezvematongerwo enyika mu chiArabu ndezvimwe zvezvimwe zvebasa; pedza YouTube URL mu /transcribe/youtube/ kana kurodha pasi faira.

Whisper inodhura ma tokens 50 paminuutti, saka kurekodha kweawa imwe chete kunodhura ma tokens 3,000. Vazhinji vanoshandisa havabhadhare chero chinhu — iyo yemahara yezuva nezuva pool ye30,000 tokens inobhadhara mavhidhiyo, mavoice notes, uye podcasts. Kunyangwe, transcription inoita sekuti unobhadhara, nechikwereti chekubhadhara kubva pa$1.

Yeah — 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. chiArabu transcripts anodzokera muzvinyorwa zvavo zvekumabvazuva-kumabvazuva uye anoratidzwa zvakakwana muchero RTL-aware muverengi (browsers, Word, Google Docs).

Yeah. POST audio (multipart/form-data, field name "file") to /v1/transcribe/ with language=ar — 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/.

Yeah — kana transcription yapera, tinya Translate kana kuti nyora mu /translate/. chiArabu inowirirana nesemwe rurimi tichitsigira (200+). Kuti uite misangano, nyora mu /summarize/; kuti uite dub, nyora mu /voice/tts/ kuti uite mashoko mu rurimi rwaunoda.

Whisper yakadzidziswa nemakumi ezviuru zvemaawa echokwadi chepasi rose chemavhidhiyo, saka inosangana nemamiriro ekunze ekunze uye nemhando yefoni yekurekodha pa chiArabu. Kuti uwane mhedzisiro yakanaka, shandisa vhidhiyo yakachena (headset mic, hapana music bed) — pazera iri, matambudziko anokonzerwa nemamiriro ekunze anowedzera kune basa rekutanga.Kana transcript ichidzokera pasina kushandiswa, taura neemail ku contact@free.ai nefile — isu tichadzosera mari yechikwereti uye tichaona kana imwe injini inokwanisa kudzora mashoko ako zvakanaka.

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