Tononga tohi kulupu — tononga 'ia he tohi ai he kulupu fakapitoa fakatokotoko 'a e hingoa 'o e fiema'u kotoa

Tononga tohi kulupu.'A e fiema'u 'ia tofu'a, 'a e kupu kotoa.

Tofu'aka he faiva kulupu fakapitoa 'i he nomoa 6, 8, pe 10 foki. Tomu'a ha tohi fakatotonu 'a fiema'u 'ia taha taha fakatokotoko, 'a e lea 'e feutalaki fakataki, pea ha DOCX 'e toki atu ki he NVivo.

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

Fiema'u valu si'i ange. Tofu'a pea fakatotonu si'i hoko ange.

Ko e kulupu 'o e diarization palapala 'i he va'u 'o eni — nomoa 'e toko ha'a, nomoa mahalo, pea lea 'e feutalaki 'e totongi. Fakataki 'ia 'a e lea 'e feutalaki mo tofu'a 'i ai koeʻuhi 'a e Fiema'u 3 → 'Fiema'u_F2' pea 'e hola ia 'i he tohi kotoa.

Faiva kulupu fakapitoaREC Fakanofo + fiema'u 7 · 1:23:14

fakalotoloto 'ia en-US44 kHz boundary mic · WAV

~90s

Tohi · toki ange91% malohi · fiema'u 8

Pea kuo ke toli 'ia 'a e paka — vakai mai ki a'u 'a e 'oku ke 'ilo 'ia.

Pea mo'oni? 'A e mea ko e 'oku si'i ange 'o e founga. Hangē 'ia he mahaki potu, 'ilo mahaka —

'Io, 'io pe. 'Ilo 'ia 'a e lavenda e lea.

'Io, pea 'a e name 'e tala ko lavenda pea 'e 'ikai tele —

91% 'i he potu fiema'u 8DOCX (QDA-tupu) · 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 tangata. AI fahikivave. Pe ko eni.

Ko e forofonua 'e tohe ki he tangata tononga (fakamafimafi, malohi, taulafafa) pe he polokalame AI fahikivave 'e 'ikai kuo fakahoko mo'oni he potu fiema'u 8. 'Oku 'iate eni 'i he mahina 'o ia — AI fahikivave, diarization hake-tupu mo'oni he kulupu manakohaki, pea DOCX 'e toki atu ki he NVivo 'e 'ikai kau ho'o fakafina.

Option 01

Rev tangata tohu fakatotonu

He tangata 'e tohu 'ia. Malohi 'o 'ikai, ko e 24 houha pea 'a e taulafafa 'e holo mo e houha.

Malohi~99% (tangata)

Taimi12–24 houha 'o kauvaka

Lea 'e feutalakiTaki [feutalaki]

Tofu'anga QDADOCX, fakafina tangata

Taulafafa · 'i he miniti$1.50 tohu fakatotonu

Kulupu 90 miniti~$135

Best forTohi fou pe kulupu manakohaki 'e hifo ki he tangata koe 'a e kupu kotoa.

Option 02

Transcription.Solutions

Diarization hake-tupu mo'oni he fiema'u 6-10, lea 'e feutalaki tofu'a 'i ai, DOCX tofu'anga fakalokotono mo NVivo, ATLAS.ti, mo Dedoose.

Malohi88–94% 'o he kulupu lea

Taimi~1× taimi holo

Lea 'e feutalakiTofu'a, 'ikai tafoki

Tofu'anga QDADOCX mo fiema'u kupuniga

Taulafafa · 'i he miniti$0.03

Kulupu 90 miniti~$2.70

Best forForofonua 'e tononga 'ia kulupu 'e tohe 'ia ha tohi 'o e 'oku si'i ange ki NVivo 'i he 'olo'a, 'e 'ikai ilo'i.

Option 03

Otter / Sonix

AI fahikivave kuo fakahoko 'ia he fakataki. Malohi 'a nomoa 2-3, 'e to'o 'i he lao 5 — pea 'oku 'ikai tofu'anga QDA mo'oni.

Malohi'Oku to'o 'i he lao 5

TaimiFahikivave

Lea 'e feutalaki'E tafoki ha'o 'ikai

Tofu'anga QDA'Oku 'ikai he NVivo mo'oni

Puka fiema'uVahe kohoku ~6

Taulafafa$17–22/tangata/mahina

Best forManakohaki siʻiki pea fakataki nomoa 2-3 'i he kupuniga mo e fakataki.

Taulafafa malohi 'io 'i Mē 2026. Ko e mahanga hokaga 'ia 'a e faiva 'o e kulupu fakapitoa 'o eni, 'e 'ikai fakalavelave hufaka.

94% 'i lavale-'i he fiema'u 'ia taha taha. 'E nonofo 'ia 82% 'i he room mic 'ia taha.

'A e malohi 'o e kulupu 'e fakangatangata 'ia 'a e topokalafi lea, 'e 'ikai hā 'o e polokalame. He lavale 'i he fiema'u 'ia taha 'e omi ki ai hā lea honau topokalafi — diarization 'e te'eki 'ia. He room mic 'ia taha 'i he tepu fakapitoa anga o fiema'u 8 'o e palapala faka'ofa'anga 'oe. Ko e nama 'i lalo 'ia 'a e tohi kulupu 'o eni manakohaki 'i he potu 'oku atu.

Ko e mea 8 'e palapala ki ai mo'on 'i he tononga tohi kulupu.

01'E mahlo au 'ia Fiema'u 1 'o 'i he hingoa 'a e fiema'u pe ID?+

'Io. Patupatu 'a e fiema'u kupuniga 'i he tohu, tohi 'ia 'a e hingoa pe screener ID ('a Mou pē 'P04_F_34'), pea 'e hola ia 'i he kupuniga kotoa 'o ia 'i he tohi. Ko e DOCX tofu'anga 'e 'asu 'ia 'a e hingao fakalavalea.

02'E pēfea koe 'i he lea 'e feutalaki pea 'a e lea 'e talanoa fakataha?+

'E fakataki 'ia 'ia he `[feutalaki]` tofu'a pea tonofi 'ia 'a e kupu 'o e nomoa 'ia taha taha 'i he tohi. Ko e polokalame AI fahikivave 'e tohe 'ia ha nomoa pea tafoki. 'E 'ikai 'oku 'iate eni mo'oni, pea ko ia ko 'a e fainga 'a e kulupu fakapitoa mo'oni.

03Ko e DOCX 'e toki ai mo'oni 'ia NVivo mo ATLAS.ti?+

'Io. 'E tofu'a 'ia 'a e hingoa fiema'u 'o he paevaoa fakalotoloto, 'e mahlo tutuki ai 'a NVivo 'i he tohi valea pea ATLAS.ti 'e 'ilo ai 'o ia 'o he fiema'u kupuniga. Ko Dedoose 'e 'omi 'ia 'a e DOCX 'ia taha 'e pe'a he tohi vae holo.

04'E ono he fiema'u 'e mahlo 'ia diarization 'i he faiva ho'o 'ia taha?+

Vahe kohoku 'ia 12. 'I he lao 'o ia, 'e 'ave 'ia 'a e 'alia 'e feutalaki 'ia 'a e nomoa mahalo — 'o 'oku fiemataʻu 'ia ha 10-15 miniti fakalavalea 'i ho'o 'ene. Toki 'ia 'a e 'Fomu fiema'u tomu'a' 'o mo'oni 'i he polokia mo'on.

05Ko e Tohu fakatotonu pe fakafina — 'e mahlo au 'ia ha 'e tohe au?+

Tauʻua peʻea. Tohu fakatotonu topu 'e tonofi 'ia 'a e 'um', 'a e kupu hofalaʻanga, pea kupu 'e taupule 'ia mo'on fakasoʻosoʻo lea. Fakafina 'e tafoki ia mo'on 'o le 'iloa. Ko e tohe 'ia eh fakahoko fainga; 'o holo 'ia 'a e 'tohu fakatotonu' 'o e fakakula polokia.

06'E pēfea 'ia IRB 'o e 'ilo fiema'u fakalililo?+

'A e faiva 'e tononga 'ia 'i he potu 'oku 'oku eni, 'e 'ikai tofu'a 'ia 'a API kehe. 'E 'omi 'ia ha auto-delete-after-N-hingau filimi mo'on mo'on fakakula polokia. 'Oku eni 'o SOC 2 Type II pea GDPR-tupu; ko e DPA 'i he pae lega pea koe e 'ilo IRB 'a ia 'oku filifilia.

07'E mahlo au 'ia video pe lea-mahaka ka?+

Lea-mahaka ka 'e mahlo — 'e 'ikai 'oku 'oku eni diarization 'i he video. Kapā 'oku kau 'ia video mo'on 'o e fiema'u mahalo tokotoko, tonofi 'ia 'ikai 'ia he potu 'oku ho'o fakafofoala; 'e toki lea mahaka 'ia honau 'oku vave pea 'e novelatusi pe holo 'ia h'a tofu'anga.

08'E pēfea 'a e taulafafa 'e fakalavalea 'ia Rev tangata tohu fakatotonu?+

Ko e kulupu 90 miniti 'e holo ai ~$2.70 'i he eni koeʻuhi '$135 'i he Rev tangata. Ko e fakamavat'i 'o malolhi: 'oku 'oku 'oku eni '88-94% koeʻuhi ha mic fakalavalea, 'a e tangata Rev 'e holo ia ~99%. Ko e forofonua 'kaomi 'oku 'oku eni fakauluaki pea 'e taulafafa pe atu 'ia he tangata kapā 'e filifilia.