Free chiPeshiya Transcription
Kushandura chiPeshiya audio uye video kuita tebhu neAI. Yakanaka, yakakwana uye yemahara.
Maitiro Ekuita
- Tora ku Free.ai Transcriber
- Kuisa yako chiPeshiya audio kana video faira
- Our AI otomatiki inowana chiPeshiya uye inonyora
- Dhawunirodha transcript yako sechinyorwa kana SRT subtitles
chiPeshiya Transcription Features
- ✓Yakagadzirwa ne faster-whisper (MIT licensed)
- ✓Kuwana chiPeshiya rurimi otomatiki
- ✓Supports MP3, WAV, MP4, M4A, FLAC, uye zvimwe
- ✓Kutumira kunze kwenguva uye zvinyorwa (SRT)
- ✓Hapana faira resize limits pazvirongwa zvakabhadharwa
- ✓Private and secure -- files are deleted after processing
Deta yeChirungu
| Chirungu | chiPeshiya |
| ISO Code | fa |
| AI Model | faster-whisper |
| Mutengo | _Dambudziko |
Mamwe Matauro
View All LanguagesFAQ
chiPeshiya ndeimwe yemitauro ine simba rekushandisa muWhisper — zhinji dzev3-turbo dzinosvika pa15-25% yemashoko anokonzera matambudziko. Chikamu chikuru chekunyora kwacho chinovimbika; fungidzira matambudziko ezita rechigadzirwa, nguva nenguva kuchinja kwechiratidzo kunokonzera matambudziko, uye kushungurudzika kwechimwe chinhu chinokonzera matambudziko.(Tier C, 15-25% word error rate pa benchmark sets — isu tinoburitsa zvakarurama WER tiers kupfuura zvekutengesa zvikumbiro.)
Yeah — chiPeshiya transcription inotora kubva pazuva nezuva pasina token pool yekutanga. Audio inodhura pamusoro 50 tokens paminuutti, sokuti anonyymi daily pool inosvika maawa mashoma eaudio pazuva. Signed-in accounts get a larger pool plus 10,000 signup tokens. Past that, $1 buys 750,000 tokens (~250 hours of audio).
chiPeshiya transcripts anodzokera muzvinyorwa zvavo zvekumabvazuva-kumabvazuva uye anoratidzwa zvakakwana muchero RTL-aware muverengi (browsers, Word, Google Docs).
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 chiPeshiya.
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 chiPeshiya recordings (podcasts, full lectures, meetings) work fine.
Yeah — mutauro diarization iri pa default yese chiPeshiya 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=fa, and return the transcript with timestamps and speaker labels. Typical chiPeshiya content: mashoko clips, maseremoni, mavhesi, uye masangano ezvematongerwo enyika mu chiPeshiya ndezvimwe zvezvimwe zvebasa; pedza YouTube URL mu /transcribe/youtube/ kana kurodha pasi faira.
Whisper mutengo pamusoro 50 tokens paminuutti audio, saka rimwe vhiki redhiyo kutamba nde ~ 3,000 tokens. $ 1 anotenga 750,000 tokens, iyo inoita kuti zvishoma 250 mazuva audio padhigirii. Vanhu vazhinji havana kushanyira chero chinhu - yemahara zuva nezuva pool anosvika zvishoma clips, mashoko, uye one-off podcasts.
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. chiPeshiya 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=fa — 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/. chiPeshiya 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's noise robustness still applies on chiPeshiya, asi paiyi mhando yechokwadi chero imwe nyoro inowedzera iyo baseline error rate. Clean headset audio inopa zvirinani zviratidzo kupfuura foni kana laptop-mic recordings.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.