Kupu whakataki hui AI — kupo whakarāpopoto hui me te whakahoki kupu mai i tetahi ataata

Kupu whakataki hui mai i ngā ataata.Tohatoha i mua i te hui e hāere mai.

Tukuna te ataata hui mai i tetahi papaaho. Whiwhi whakahoki kupu me te tohu kaikorero me te wāhanga kupu hanga ture — whakahau, āhuatanga mahi me te mea nui, āhuatanga kei te tuwhera — hei apia ki te Slack rūmaki Linear.

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

Ataata i werawera. Kupu e pānui tika ai te rōpū.

Kāre e tiangru noa te whakahoki kupu. I muri i te whakawehewehenga kaikorero, ka tiki te kaupapa whakarāpopoto i te hanga hui — ko te whakahau kua whai, ko nā mea e ā ana i a wai i te aha, ko te mea kei te tuwhera. Ka noho te whakahoki kupu katoa ki raro i roto i te āhuatanga mēnā kei te hiahia te kaiako kia haere atu.

Ataata hui tohu tātaiREC 4 kaikorero · 32:14

auto-detected en-US44.1 kHz stereo · 192 kbps

~90s

Kupu · rere tonu95% tika

Nō pēnā i te ahumahi ā-tīmatanga — e putaina ana e tāua te ahuatanga hou i tēnei whakaratarata, e tohea ana rānei?

E tohea. Kāre anō te kupu wāriu taupata i moomoohi, pēnā i te ture i te mokemoke inaianei inaianei.

Ka taea e ahau te putanga inaianei inaianei i a Priya i tēnei rā tua.

Ka pai. Tā tāua tīmata mo te Rāhupātea e hāere mai.

95% i ngā ataata rōpūDOCX · 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

Fathom / Fellow

Ka toro te bot ki ngā hui katoa. Ko kupu e whakaputa ana i te tonu, ka pupuri ki a rātau papaaho.

Āhuatanga e hiahia anaCalendar OAuth + bot i te tono

E mahi ana i ngā ataata o muaPoto / tohu utu

KupuKaupapa Ingarihi

TiapoĀ rātau papaaho + whakahere CRM

Utu$0 koreutu — $19+/kaiwhakamahi/marama

Best forRōpū hoko e hiahia ana i te bot i ngā hui katoa kua whakaaro ki te whakahere CRM tīpakohia.

Option 02

Transcription.Solutions

Tukuna te konae. Whiwhi whakahoki kupu + kupu hanga ture. Kāre he bot, kāre he whakawhiti maramataka.

Āhuatanga e hiahia anaTe konae ataata. Āe anō.

E mahi ana i ngā ataata o muaĀe — tetahi konae, tetahi āo

Kupu99, auto-detected

TiapoDOCX · SRT · TXT · JSON

Utu · i ia meneti$0.03

Best forRōpū e tohu ana i ngā papaaho rerekē (Zoom, Meet, Teams, kōkupu) kua whakaaro ki te kupu kāre i te papaaho kaiwhakahaere.

Option 03

Granola

Ko te papaaho macOS e hopu ana i te whakarongo rīngaringa + ō mic. Ko te whakamarama tuhi-kupu te pokapū pakatea.

Āhuatanga e hiahia anaKo te papaaho macOS

E mahi ana i ngā ataata o muaKāre — me tahuri i te wā o te hui

KupuIngarihi e aronga ana

TiapoMarkdown, Notion, Linear

Utu~$18/kaiwhakamahi/marama (tepata)

Best forNgā kaiwhakamahi macOS e tuhi kupu tonu ana kua whakaaro ki te AI kia tohu i muri.

Ko te utu me ngā tohu āhuatanga e tepata ana kei 2026. E rerekē tonu ngā tepe-koreutu o ngā utauta-bot — tiro ki a rātau papaaho mo ngā tua o nāianei.

E 8 mea e ui ana mō te kupu whakataki hui.

01Ka tika tonu te kupu whakarāpopoto AI e tiki ana i ngā āhuatanga mahi?+

Āe, i te wa e tika ana te tohu kaikorero. E titiro ana te kaupapa whakarāpopoto ki te reo whakaaetanga ('Ka tango ahau i t��nā', 'Ka taea e ahau i te Rāhipuatarangi') me te whakatairanga ki te kaikorero tohua. Waiho koe i te whakaihu i te tohu kaikorero, ka puta te mea nui hei 'Kaikorero 2' kaore i ingoa — ka whakamate i te uara.

02Ka toro koe ki te hui Zoom rānei Meet tipu hei Otter rānei Fathom?+

He bot māua mo Zoom me Meet, kāpē ko te ahunga tuatahi he tukuna i muri. E tohu ana te ropu i te ataata mai i a rātau hui papaaho — e mahi ana māua i te konae. Kāre OAuth maramataka, kāre bot e tohu mai i te kore e tono.

03He aha te āhuatanga o te DOCX i te wa e tiango e koe?+

E rua wāhanga. Ko te timatanga wāhanga kupu AI — whakahau, āhuatanga mahi me te mea nui, āhuatanga tuwhera, āhuatanga matua — hei apia ki te Slack rūmaki ahumahi. Ki raro ko te roanga whakahoki kupu tohu kaikorero katoa me ngā tohu wā. Ko te toetoe e tuku ana i te timatanga, e tiaki ana i te wahaiti.

04Ka mahi tēnei mo ngā hui kanohi tohua i te waea?+

Āe, me āhuatanga. E āta 82% te tika whakahoki kupu i te wa o tēnei tohua-waea — he kino te reo awhea me ngā kōrero mamao. E toki tonu te kupu hanga ture he mea kaha ki te hapa kupu-ā-kupu. Whakamahi i te kupu hei tohu, whakaaro i te whakahoki kupu hei tohu tuhaka.

05He aha tō whakatakoto mo ngā ataata hui matatapu?+

Ko te konae pūtake e mukua i roto i te 24 haora i te whakatika. E noho ana te whakahoki kupu me te kupu i tō āhuatanga kia mukua e koe. Kāre e whakaako āhuahinga i tō whakarongo. Ko te SOC 2 Type II e haere ana; ui mēnā kei te hiahia koe i te pukapuka pokapā.

06Ka taea te kupu kia toro inahoki ki te Notion, Linear, rānei Slack?+

Kāo i tēnei wā — kāre e māu tūturu ki ngā utauta āhuahinga. Ko te DOCX me ngā tiapo Markdown e whakatūria ana kia apia kōpani ki a ia rātau. Ko te Zapier-āhuatanga whakahaere i te whakatika mahi kei te rapi.

07He aha mō ngā hui i roto i ngā kupu e rua rānei kaikorero Ingarihi kāore?+

Ko te auto-detect e tiki ana i te kupu e roa te tino. Mo ngā hui tūturu takirua (e.g. Spanish + English code-switching), e raume te tika ki te kupu koriti. E whāinga ana māua i te 99 kupu me ka whakaputa te wāhanga kupu whakarāpopoto i te kupu e tika ai te whakahoki kupu.

08He pēhea te roa kia roa tino ngā kupu i muri i te tukun?+

E kōpani ana 0.1× te wā tika mo te whakahoki kupu, me te 30-60 hēkona mo te whakawhiti kupu whakarāpopoto. E tohu kai ana te hui 60 meneti i roto i te 6-7 meneti. Ka whiwhi koe i te īmera i te wa e oti ana te mahi — apia te kupu ki tō hui tūmau i mua tonu e timata.

Kupu whakataki hui mai i ngā ataata.Tohatoha i mua i te hui e hāere mai.

Drop a file, or pick one

Paste a link, we’ll fetch the audio

Record straight from your browser

Ataata i werawera. Kupu e pānui tika ai te rōpū.

This is what loads when the job finishes.

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

Fathom rānei Fellow. Granola. Rānei māua.

Fathom / Fellow

Transcription.Solutions

Granola

E toru mea e whakamate ana i te kupu whakataki hui i runga i te kaiwhakahoki kupu noa.

Ka tupu he aha

He aha te āhuatanga whakahohō

Ngā whakautu mahi e whakatūpuria ana mo te kupu whakataki hui

95% i ngā ataata rōpū. E tū ai te kupu tūturu ake i te whakahoki kupu.

E 8 mea e ui ana mō te kupu whakataki hui.

Tukuna te ataata hui. Whiwhi kupu i mua i te hui e hāere mai.