Whakatipuranga rōpū — whakatipurangia me ngā tuhinga kaikōrero mō ia hunga tiipui

Whakatipuranga rōpū.Ia kaikōrero i tuhia, ia kupu.

Tāria he kupu tīkina rōpū me 6, 8, tahi rānei 10 reo. Whiwhi he whakatipuranga tika-ake i ia hunga tiipui i tuhia, i tohua te whakatahi kupu, me te DOCX e uta tika ki 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

Waru hunga tiipui e uru. I tuhia, ā-kōre-te-whakarereke e waho.

Ko ngā rōpū pokapū te āhuatanga tino uaua i ā mātou tatūā — ōrite ngā āhuatanga tangata, ōrite ngā reo, tonutanga whakatahi kupu. Ka tohua e mātou te whakatahi kupu i roto, kāore i whakahingea, ka whakarereke koe i te Kaikōrero 3 → 'Hunga_tiipui_F2' kotahi, ka toha atu ai.

Kupu tīkina rōpūREC Kaiwhakahaere + 7 hunga tiipui · 1:23:14

auto-detected en-US44 kHz pūkoro palipali · WAV

~90s

Tuhinga · tukutuku91% te tika · 8 kaikōrero

Koia i roto ke āta tuwhera ai koe i te ipu — whakaawe ki au i ā koe i kite.

Pono? Ko te tuatahi ko te whakarua. Pēnei me te hōpitanga, he momo tēpokapī —

Āe, ōrite. I whakaro ahau he mea lavender.

Tika, me te tuhinga e kī ana lavender engari he mea kore rawa —

91% i te rūma 8-kaikōreroDOCX (QDA-rite) · 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

Option 01

Rev tangata tika-ake

Ka tīpako te tangata. Te tika tūturu, engari 24-haora whakatere me te utu e tāpiri ana ki ngā haora.

Tika~99% (tangata)

Whakatere12–24 haora te noa

Whakatahi kupuTohua [whakatahi]

Kaupapa QDADOCX, whakaemi tūhoetanga

Utu · ia meneti$1.50 tika-ake

Rōpū 90-meneti~$135

Best forMahi tuhinga PhD i ngā rangahau whakahaupapa e whakaritea ai e te tangata ia kupu kore putu.

Option 02

Transcription.Solutions

Diarization ā-whāiti mō 6-10 reo, whakatahi kupu tohua i roto, DOCX kaupapa NVivo, ATLAS.ti, me Dedoose.

Tika88–94% i te rara rōpū

Whakatere~1× wā tūturu

Whakatahi kupuTohua, kāore i whakahingea

Kaupapa QDADOCX me ngā whaaatāwhaipara

Utu · ia meneti$0.03

Rōpū 90-meneti~$2.70

Best forKairangahau e whakatakoto ana i ngā rōpū maha e kī nui ki te tuhi tuatahi i NVivo āpōpō, kāore i neke nei.

Option 03

Otter / Sonix

AI āwhānui hāngai hui. Te pai i 2-3 reo, ka tūhaketanga i muri i te 5 — kaupapa aupiki kāore mō software QDA.

TikaHeke i muri i 5 reo

WhakatereTere

Whakatahi kupuTonutanga whakahingea

Kaupapa QDAKāore he ira NVivo

Aroaro reoAroaro ngā ~6

Utu$17–22/kaipaipai/marama

Best forNgā arorongo iti me ngā whānuitanga 1-o-1 e 2-3 reo te rā, me te āhuatanga pāputu.

Pricing tika i May 2026. Ngā taupunga tika mai i ā mātou tauira tūturu hunga, kāore i synthetic benchmarks.

94% i te raumati-ia-kaikōrero. E tū ana ki te 82% i te mikireo whare kotahi.

Ko te tika o te rōpū pokapū ka poupou i te āhuatanga mikireo, kāore te pūnaha. Ko te raumati i ia hunga tiipui e whakaae ana ki a mātou ngā pūtahi māmā — diarization ka kore. Ko te mikireo rohe kotahi i te tepu hui me 8 reo te āhuatanga tino uaua. Ngā tau i raro mai i ngā tīkina rangahau tūturu i ā mātou raire.

8 āhuatanga e pātai ai e pāpori mō te whakatipuranga rōpū pokapū.

01Ka taea te whakarereke i te Kaikōrero 1 ki te ingoa tūturu o te hunga tiipui i te tohu tauwhiwhinga?+

Āe. Pā ki ia kōwai kaikōrero i te whare tabuwha, tuhi te ingoa i te screener tohu (e.g. 'P04_F_34'), me te toha atu i ia whaaatāwhaipara mai i tēnei kaikōrero i roto tuhinga. Ka whakamahi te DOCX kaupapa i ngā tuhinga whakarereke.

02Me pēhea anō e tūtūā ai te whakatahi kupu me te reo whakatahi?+

Ka tohu mātou i roto me `[whakatahi]` tohu me te kī atu ia reo i roto tuhinga. Ko te nui o taupūtapu ka kōwhiri kotahi kupu, ka whakahinga — kāore mātou, kua ko ā taua āhuatanga e pā nuitia te rōpū pokapū kaupapa.

03Ka waho tika te DOCX ki NVivo me ATLAS.ti?+

Āe. Ka kaupapa mātou me kaikōrero tohu hei whaaatāwhaipara-āhuatanga, i tūtūa ai e NVivo i te whakakaupapa me ATLAS.ti te mārama hei whaaatāwhaipara kaikōrero. Ka whakarongo a Dedoose i te DOCX ka ia pūtahi whakakaupapa tuhinga.

04E hia kaikōrero e rua-ā e taea ai te diarization i te puka kotahi?+

Aroaro ngā tūmataiti ~12. I muri i ēnei, ka tūhaketanga ngā reo ōrite acoustic clustering — nā te āhuatanga ko te 10-15 meneti whakarereke i tā koe taha. Tautuhia 'Kaikōrero e tūmanakohia' i te puka mahi mō te āhuatanga pai.

05Tika-ake i te moahoa — ka taea te kōhiri?+

Āe, e rua. Āhuatanga tika-ake e tiaki ana i ia 'um', tīmatanga kore, me te kupu tuahopanga mō te tātai whakahāngai. Moahoa ka tango i ngā kupu kore putu mō te mārama ā. Ka whiri koe i ia mahi; te taunoa mō te kupu rangahau ko tika-ake.

06Ā te mea mō ngā whakatakoto IRB me te mohio pūmau hunga tiipui?+

Ngā puka ka tukungurungia i ā mātou pūkoro, kāore ki ngā API tutu-a-ngoā. Ka tāwhiwhia e mātou he hāmahi auto-whakakorehia-i-muri-ā-N-rā mō IRB tūtūa. Ka SOC 2 Type II me GDPR-whakatika mātou; te DPA i te whārangi ture mēnā ka hiahia koe IRB ā.

07Me rekoata rauangitanga me te reo anake?+

Ko te reo anake he pai — kāore mātou e whakamahi rauangitanga mō diarization. Mēnā kua rauangitanga e koe mō te tauwhāinga hunga tiipui, whakatupu ki te āhuatanga mō tā koe ake whakamahi; ka tukutuku te pūkoro reo anake he tere ake me te iti utu.

08Me pēhea e whakatairite te utu ki Rev tika-ake tangata?+

He rōpū 90-meneti ka $2.70 i konei hau $135 i Rev tika-ake tangata. Ko te tohua ko tika: ka $86-94% tātou e pēnei te mikireo āhuatanga, ka ~99% ngā tangata tuhinga Rev. Ko te nui o kairangahau ka whakamahi i mātou mō te ahi tuatahi, whakatumuaki āhuatanga rōpū ki te tangata mēnā hiahia ā.

Whakatipuranga rōpū.Ia kaikōrero i tuhia, ia kupu.

Drop a file, or pick one

Paste a link, we’ll fetch the audio

Record straight from your browser

Waru hunga tiipui e uru. I tuhia, ā-kōre-te-whakarereke e waho.

This is what loads when the job finishes.

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

Rev tangata. AI āwhānui. I te reira rānei.

Rev tangata tika-ake

Transcription.Solutions

Otter / Sonix

E toru āhuatanga e mate ai ngā kairangahau i AI taupūtapu āwhānui.

Ā he mea e whakatupuranga

Ā he mea ka whakaani

Ngā tautuhinga mahi i tūmanakohia mō rōpū pokapū

94% i te raumati-ia-kaikōrero. E tū ana ki te 82% i te mikireo whare kotahi.

8 āhuatanga e pātai ai e pāpori mō te whakatipuranga rōpū pokapū.

Tāria he kupu tīkina rōpū. Kite i te whakatipuranga i roto i NVivo i āpōpō.