Ruregereti reRuvingo — nyora ruvingo rinzvawo vamwe vamwe vane vheti revutsiura rimwe nerimwe

Ruregereti reRuvingo.Mutsiura mumwe nomumwe akaita zvitauro zvake zvose.

Gachi a kirekerete reRuvingo ine makasero madzana, masere, kunyange pane makumi. Tora miariri yakakosha nemutsiura mumwe nomumwe akasiya, zvakasangana akazinyozwa, uye DOCX inopinda NVivo pasina kuchinja.

Drop a file, or pick one

MP3 · WAV · M4A · MP4 · MOV · MKV · OGG · OPUS · FLAC · WEBM — up to 100 MB anonymously

Paste a link, we’ll fetch the audio

YouTube · TikTok · Vimeo · Twitter · SoundCloud · Spotify · 50+ more

Record straight from your browser

No card required~90s per 60-min fileSRT · VTT · DOCX · TXTFiles auto-deleted in 24h

Vavaranofana vasere vachipinda. Miariri yakakosha mugwagwa.

Ruvingo ndicho chakavhirwa kwazvo muruvingo redu — mutsiura wakaenzana, vanotaura ivo vakaenzana, zvakasangana zvinoitika kwazvo. Tinozimba zvakasangana mukati panzvimbo dzokuseva asi kusakanganwe, uye ipapo unogona kuchinja Speaker 3 → 'Participant_F2' kamwe chete uye inosanganira zvose.

Kirekerete reRuvingoREC Mufungamiri + vanotaura 7 · 1:23:14

auto-detected en-US44 kHz boundary mic · WAV

~90s

Miariri · inoteveraZvino zvakakosha 91% · mutsiura 8

Saka paunobuka mabukiro chete — ndiudze zvamakavona.

Zvechokwadi? Zvinhu zvokunanga zvakava kunhwira. Sekurapa, kwenheyo —

Aaa, ndizvo. Ndakafunga kuti yaizova lavender.

Aaa, uye label inoti lavender asi haiwo —

Zvino zvakakosha 91% kumba kuma8-mutsiuraDOCX (QDA-ready) · SRT · TXT · JSON

This is what loads when the job finishes.

Same layout as the real dashboard — Summary, full Transcript, Speakers tab, Exports. Key points and action items extracted automatically. Auto-tags on every job.

app.transcription.solutions / interview-202.mp3Export

Summary 5Transcript 1,420Speakers 2Exports

interview-202.mp347:08128 kbps CBR2 speakersen-US auto-detected

Founders need post-call content, not just transcripts. Tools force them to stitch 5 apps together.

Sample preview from a founder interview about post-call workflow. Real transcripts look exactly like this — same tabs, same summary block, same key-points / action-items split, same auto-tag chips.

Key points

Gap exists between raw recordings and shippable content — tools stop at transcript.

Show notes, social clips, blog drafts all expected by call's end, not next-day.

Current tooling fragmented across 5 apps — no single pipeline.

Conversion-rate signal flipped a buyer-segment assumption at week 3.

40% of original hypothesis survived — the shape held, mechanics rebuilt.

Action items

Speaker 1Investigate single-pipeline approach to replace 5-app stitch.

Speaker 2Mock how show-notes draft could flow from the transcript.

Speaker 2Pull conversion-rate by segment, Monday EOD.

Speaker 1Map the 5-app stitch & list which steps actually need a human.

Auto-taggedfounder interviewpost-call contenttooling fragmentationsingle pipeline

Try it on your own file — it's free

Rev wekuda. AI yejinga. Kana isu.

Vanoshambadzira vanosanganisa chitano — kufora munhu wokunyora (zvirema, zvakakosha, zvakashata) kana kubvisa faira kuburikidzo neAI chitauro chisina kudiwa kune vamwe vane gumi vanotaura. Isu tiri pakati — kumhanya kwenzeyo kwaAI, diarization inojekereza zvakatariswa, uye DOCX inoenda NVivo pasina kuchinja.

Option 01

Rev munhu wokunyora zvakatariswa

Munhu anoinyora. Zvakatariswa zvakakosha, asi mazuva maviri ekumara uye mutengo unophumutsira neminete.

Zvisina kuva zvakatariswa~99% (munhu)

Nguva yokubvisaMazshishi-24 anosekwa

ZvakasanganaZvinosanganira [crosstalk]

QDA kubvisaDOCX, kuchinja kunamazuva

Mutengo · per min$1.50 zvakatariswa

90-min ruvingo~$135

Best forBango remhuri kana shambadzirwo reshivhiso apose disfluency inofanira kuongorwa nemunhu.

Option 02

Transcription.Solutions

Diarization yakatarisiwa kune mutsiura 6-10, zvakasangana zvakaizvazviwa, DOCX kubvisa yakaenzaniswa neNVivo, ATLAS.ti, uye Dedoose.

Zvisina kuva zvakatariswa88–94% pazv audio yemhuri

Nguva yokubvisa~1× realtime

ZvakasanganaZvakakurudzwa, asi kusakanganwe

QDA kubvisaDOCX nemutsiura anotaura

Mutengo · per min$0.03

90-min ruvingo~$2.70

Best forVanoshambadzira vanoita mhuri zhinji vane chipinda chemiariri yekutanga muNVivo kamusi zvisingapinduri mwedzi.

Option 03

Otter / Sonix

AI yejinga yaakabikwa kumbiko. Yakakosha ku2-3 mutsiura, inogaya pamusoro pelu5 — uye kubvisa kusingatarisi zve QDA.

Zvisina kuva zvakatariswaInodonzera pamusoro pemutsiura 5

Nguva yokubvisaKumhanya

ZvakasanganaZvakadzorerwa zvakakoshera

QDA kubvisaPasina NVivo format

Mutsiura chisumiranidzoSoft limit ~6

Mutengo$17–22/user/mwedzi

Best forMubiko mukuru uye 1-on-1 zvaape kirekerete ine2-3 vanotaura uye iri kumisikidzo yamakore.

Pricing accurate as of May 2026. Accuracy ranges come from our internal sample of customer focus group files, not synthetic benchmarks.

94% pazvigaro zvelavalier-per-participant. Inotsika pa82% pamic yimba imwe.

Zvisina kuva zvakatariswa ruvingo ndicho chinotakura mic topology, kwete chirongwa. Lavalier pane mutsiura umwe nomumwe inotipa nzvimbo dzakasiyana per-speaker — diarization inoita zvishoma. Mic yimba imwe patafura yehwira ine8 vanotaura ndichakuvhirwa. Nhamba pano dzinoguma kuvapo kirekerete yechokwadi mugumo redu.

Zvinhu 8 zvimwe vanobvunza paRuregereti reRuvingo.

01Ndinogona kuchinji mutsiura 1 kuzita renzvera kana ID?+

Aaa. Swanye chip yemutsiura mueditor, nyora zita kana screener ID (mhinduro 'P04_F_34'), uye inosanganira mumwe nomumwe turuo kubva kumutsiura mumwari mumiariri. Kubvisa kweDocx kunoshintsha vheti dzinochinjwe.

02Munooganisa sei zvakasangana uye kugaya kwezvanotaura?+

Tinovheti ito inline ne `[overlap]` vheti uye tinosara nevutouro bwere bvevatsiura vose. AI yejinga zvakadi inosarudza ruzha rumwe uye inobvisa rimwe — isu hatiti, nokuti zvakasangana zenguva yedo dzinouya zvaperako ndipo dynamics yeRuvingo igiwe.

03Ndinoshintsha sei DOCX inoenda NVivo neATLAS.ti?+

Aaa. Tinobvisa ne speaker labels sekuti mhando-style headings, anodzereka inokutsara NVivo paupinza uye ATLAS.ti inoziva sevatsiura turuo. Dedoose inogamuchira DOCX yenguva kufananidzira kunze kweupinza.

04Vanotaura vangani vanogona kuchinja mumfairi imwe?+

Soft ceiling kune12. Pamusoro pane iyo, acoustic clustering inotsika kuunganidza vanotaura nokupata — zvakadi zvinengana mazuva 10-15 yokuchinja nzvimbo yako. Seta 'Mutsiura anodzokera' mukuenda muform kune best mhedziso.

05Zvakatariswa kana dzakachinjwe — ndinogona kusarudza sei?+

Zvose zviviri. Zvakatariswa mode inotsika mumwe nomumwe 'um', false start, uye repeated kunyora kune discourse analysis. Dzakachinjwe dinobvisa disfluencies kune kuimba. Unosarudza per-job; default yere research template nzvakatariswa.

06Chii nezveiyo IRB mhedziso uye kuvanzwa kwevatsiura?+

Mafairi anoshandiswa muinfrastructure yedu, kwete kuendeswa kuAPI yethird-party. Tinoitira per-job auto-delete-after-N-days flag kweIRB protocols. Isu tiri SOC 2 Type II neGDPR-compliant; DPA iri papeji yekukonzera kana IRB yako inoshokwe.

07Ndinofanira kurekodza video kana audio-only?+

Audio-only yakakosha — hatisi kushandisa video kune diarization. Kana une video kwe participant identification, isitire locally kune yako code; kuenda kwete audio track mhanya uye kutsvara.

08Mutengo unoenzaniswa sei neRev munhu wokunyora zvakatariswa?+

90-minute ruvingo inotakura makazi $2.70 pano kupara $135 paRev zvakatariswa. Kusiyana ndicho zvisina kuva zvakatariswa: isu tinotsika ku86-94% zvinoenderana nemic setup, Rev zvanotaura zvemunhu zinobudikira ~99%. Vanoshambadzira zvinhu zvinzhinji zvinoshintsha isu kunyanzva pass uye vanoenda zvedzemazvinhu zvimwechete kuChina kana zvakaidei.