Free chiHindi Transcription
Kushandura chiHindi audio uye video kuita tebhu neAI. Yakanaka, yakakwana uye yemahara.
Maitiro Ekuita
- Tora ku Free.ai Transcriber
- Kuisa yako chiHindi audio kana video faira
- Our AI otomatiki inowana chiHindi uye inonyora
- Dhawunirodha transcript yako sechinyorwa kana SRT subtitles
chiHindi Transcription Features
- ✓Yakagadzirwa ne faster-whisper (MIT licensed)
- ✓Kuwana chiHindi 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 | chiHindi |
| ISO Code | hi |
| AI Model | faster-whisper |
| Mutengo | _Dambudziko |
Mamwe Matauro
View All LanguagesFAQ
Whisper zhinji-v3-turbo anobata chiHindi 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 — chiHindi 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).
Hindi audio zvinonyanya kuiswa neChirungu (Hinglish) mumitauro yemunharaunda. Whisper inodzora michina iyi uye inoshandura mazwi eChirungu muLatin script uye mazwi eHindi muDevanagari mumitauro imwecheteyo. Mitauro yemunharaunda ine mitauro yakawanda yemunharaunda inogona kushandurwa kuita mitauro ine kunyatsoita kwechikwata cheC.
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 chiHindi.
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 chiHindi recordings (podcasts, full lectures, meetings) work fine.
Yeah — mutauro diarization iri pa default yese chiHindi 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=hi, and return the transcript with timestamps and speaker labels. Typical chiHindi content: WhatsApp mameseji, YouTube vlogs, uye zvinyorwa zvevhidhiyo zvinonzi ndezvimwe zvezvinhu zvinoda kuiswa mu chiHindi — nyora URL mu /transcribe/youtube/ kana kurodha pasi audio zvakananga.
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. chiHindi transcripts inodzokera muDevanagari script (UTF-8).
Yeah. POST audio (multipart/form-data, field name "file") to /v1/transcribe/ with language=hi — 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/. chiHindi 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 chiHindi. 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.