Kpọpụta ndehie/Nkekọrịta ihenhọrọ
Ntụgharị AI Ntụgharị Ntụgharị YouTube Podcast transcription Zúùmù ntụgharị Ogo ka ngwe Vidéọ̀dù ka ngwe Ntụgharị oku ekwentị Oge →

Ntụgharị n'ime nzukọ

Ọrụ ọhaneze OK 380+ Models Enweghị akara mmiri Enweghị mkpa ịbanye
Móòdù:
+ GPT-5, Claude, Gemini
Upload a meeting recording - we auto-detect 2-10 speakers, generate an AI summary + action items + decisions + attendees block at the top, then give you the full diarized transcript in TXT/DOCX/SRT/JSON. Paste straight into your weekly update or Notion.

Kpụga na wepụ ndezi nchọgharị gị

MP4, M4A, MP3, WAV - Zoom / Teams / Google Meet na-ebubata ọrụ niile. ruo 2GB.

- - - -
0 = auto-detect. Ihazi ọnụọgụgụ na-eme ka nghọta diarization dịkwuo mma site na ~15% maka ụda n'ime ụlọ nzukọ na-anụ ọkụ.
Covers: executive summary, action items (na-ewere ndị na-eweta mgbe aha), key decisions, attendees, follow-ups.
Nhazi maka nchọgharị ahụ
-
Ńkwákọ́ọ̀gụ̀
AI summary + action items
Na-emepụta ndesịta...
AI-emepụtara - hụ na ihenhọrọ ọrụ ahụ dị n'okporo ụzọ.

Na-atụgharị na ịkọwapụta ndịna-ekwuo...

Tinye 30s-3min - faịlụ ndị dị ogologo nwere ike ịna-ewe minit ole na ole.

E mepụtara maka ndị na-akụzi ndị otu, PMs + ndị na-arụ ọrụ ndị nọ n'ime ọtụtụ nzukọ

Ihenhọrọ ndị ahụ n'ọrụ n'oge ọfụụ

AI summary na-ewepụ ihenhọrọ ndị dị n'akwụkwọ dị ka 'Sarah, zigara ndesịta nke ụbọchị Friday' n'ime ndesịta búùtù dị ka ọ ga-adị. Na-echekwa 30+ nkeji n'ụbọchị.

Nhazi mmegharị izugbe

Wepụ izu nke rekọ́ọ̀gụ̀ nhọ́ọ̀gụ̀, tinye n'ime nchịkọta ndị ahụ n'ime dijétị gị nke Friday. Ha niile bụ ndị a haziri n'enweghị onye ọbụla na-ahụ rekọ́ọ̀gụ̀.

Ndịna ndị ahụ a haziri

99-language transcript + translation via /translate/ on the summary. Share the English version with teammates who missed the call.

Otu esi arụ ọrụ ntụgharị n'ime nzukọ

  1. Wepụta.mp4/.m4a/.mp3 nchọgharị n'ime (Zoom, Teams, Google Meet - ọbụla ébubata). Ruo 2GB.
  2. Hazie ọnụọgụgụ onyeọsụsụ slider ma ị mara ya (ma ọ bụ hapụ na ọfụụ). Kwụsị ntụgharị n'ime nchịkọta akụkọ.
  3. Kpọtụrụ quote na-enyefe. Anyị na-eme diarization + AI summary na otu n'ime.
  4. Nweta nchịkọta akụkọ + ihenhọrọ ọrụ na elu, ntụgharị zuru ezu n'okpuru. Bubata TXT/DOCX/SRT/JSON.

Free.ai vs Otter, Fireflies, Gong

Ndesịta ihenhọrọ ndị ahụ Free.ai Otter.ai Fireflies Gong
Nhazi$0.003/min$16.99/user/mo$10-18/user/mo$1,200+/seat/yr
AI summary + action itemsPaid tier
2-10 diarization nke onyeọsụsụ
Asụsụ99English-focused60+English-focused
Data gị na-anọ n'aka gịMulti-tenantMulti-tenantMulti-tenant
Nbanye chọrọỌ bụghịYesYesEnterprise
A na-ewere ya dị ka onye ntorobịa kacha mma n'ụwa na 2016.
Nkarachọ ndị ahụ
Ihenhọrọ ahụ
Token na-aga n'okpuru. Wepụta Token
Ịchọrọ nsonaazụ ka mma? Premium models (GPT-5, Claude, Gemini) na-enye ogo dị elu. Gosi _Nhazi

❤️ Ị hụrụ Free.ai? Kpọtụrụ enyi gị!

Sign up iji nweta a referral njikọ na-enweta 30,000 tokens kwa enyi.

Ịchọrọ ihe ọzọ? Sign up free maka 30K tokens / ụbọchị + 10K bonus
Akaụntụ

Na-arụ ọrụ n'ihe ịchọrọ...

Kpọnye nchọgharị na oku na AI. Nchọpụta onyeọsụsụ gụnyere.

Etu esi eji ya Ntụgharị n'ime nzukọ

1
Tinye init gị

Tinye ngwe, bubata faịlụ, mọọbụ depụta ihe ịchọrọ. Achọrọ akaụntụ ọbụla.

2
Pịa mepụta

Anyị AI na-arụ ọrụ gị n'ime sekọnd na-eji ihe kacha mma open-source models.

3
Bubata na akwado

Bubata, debata, mọọbụ kesaa nsonaazụ gị. Free maka ojiji nkeonwe na nke azụmahịa.

Jiri tùlè a site na API

Megharịa ihenhọrọ a site na koodị gị. OpenAI-compatible REST endpoint, Bearer-token auth, enweghị SDK ọzọ achọrọ. Token costs match the web interface.

Dọkumenti Wepụta kii 
curl -X POST https://api.free.ai/v1/stt/ \
  -H "Authorization: Bearer sk-free-..." \
  -H "Content-Type: application/json" \
  -d '{"file": "@audio.mp3", "language": "auto"}'

Ngwaọrụ AI n'efu dị na-emetụtara

Ntụgharị AI
Ntụgharị
Ntụgharị YouTube
Podcast transcription
Zúùmù ntụgharị
Ogo ka ngwe
Vidéọ̀dù ka ngwe
Ntụgharị oku ekwentị

Ntụgharị n'ime nzukọ - FAQ

Meeting mode na-achọpụta ndị na-ekwu okwu 2-10 n'ụzọ nkịtị, na-emepụta AI summary + ihe omume ihe omume na-abịa n'elu, na-apụta n'ime ihe ndị na-esonụ + nghọta + ndị na-eso ụzọ ka ndị otu nwere ike ịkpapụta ihe pụta n'ụzọ ziri ezi n'ime nsụgharị ha kwa izu.

Ọdịnaya-nchọpụta site na 2-10. Ọ bụrụ na ịmara ọnụọgụgụ ndị na-ekwu okwu, hazie slider maka ngosipụta ziri ezi - nkọwa ndị dị n'asụsụ dị mfe na-abawanye ndehie n'ịgụgharị site na ~15% na ụda n'ụlọ nzukọ na-anụ ọkụ n'obi.

A 3-5 okwu executive summary, a bullet ndepụta nke ihe omume ihe na-eduga mgbe aha, key nzọụkwụ e mere, na ndị na-eso ụzọ aha (n'ihi na-abịa site na speaker labels). Generated site na LLM na elu nke raw transcript - ~ 300 extra tokens.

Otter caps na 300 nkeji n'efu, $ 16.99 / ọnwa maka 1,200 nkeji, English-heavy. Anyị na-eme asụsụ 99 na ~ $ 0.003 / min ụgwọ-per-eji, nakwa LLM-emepụtara summary + action ihe ndị dị na ~ 300-token AI post-processing ụgwọ.

Fireflies bụ $ 10 / onye ọrụ / ọnwa ($ 18 / onye ọrụ maka AI summaries). Anyị na-akwụ ụgwọ kwa minit na-atụgharị, enweghị ikike nke ebe, na anyị na-akpọ oku n'ime klas LLMs (Qwen 7B diff, Claude / GPT upgradeable).

Gong bụ ahịa-akpọ-n'ihu na $ 1,200 + / setịpụrụ / afọ na CRM integration. Anyị na-eme ntụgharị + summary + ihe omume maka ụdị nzukọ ọ bụla na fraction nke ọnụ ahịa - enweghị CRM, mana ị na-enweta n'èzí n'èzí iji wụnye ebe ọ bụla.

Ekpughe dịka DOCX (Word-compatible, na-ebubata na Google Docs), TXT na-eji bọlbụ ndị na-akọwapụta okwu, mọọbụ JSON. Debata ihenhọrọ ndị ahụ na-arụ ọrụ na-agbakwunye na Notion - ha na-egosipụta dịka ndepụta markdown.

Faịlụ ndị a gbanyepụtara a na-ehichapụ mgbe a na-atụgharị ha. Atụgharị ndị ahụ na-adị n'okpuru akaụntụ gị ruo ụbọchị 7 (akwụ ụgwọ) mọọbụ awa 24 (n'efu). Maka nhọpụta ndị a na-echekwa, wepụ ụyọkọ akụkọ ihe mere eme mgbe a na-ebudata ha.

Ee, mana nghọta nke diarization bụ nke kacha mma mgbe onye ọbụla na-ekpekọ ihe na nso nso a nwere mic ya. Ọdịdị nke ọbụla na-ekpekọ ihe na-abịa na-ekwu okwu nwere ike ịgwakọta ụda abụọ n'ime lebụl otu.

Ọ dị mma maka nkwekọrịta dị n'ihu ("Sarah, zigara deck site na Friday") - 80-90% na-eburu n'uche. N'ihi na LLM na-eduga site na ọnọdụ a na-egosipụta ma ọ ga-enyocha ya - anyị na-ejikọta "verify against transcript" note on the output.

Ee, mana /transcribe/zoom/ bụ nke e mepụtara maka - ọ na-agụ aha ndị na-ekwu okwu ejikọtara na metadata Zoom nkeonwe ya mere na-eme ka isiokwu ndị ahụ bụrụ "Alice / Bob" n'ebe "Nkwado 1 / 2" nọ.

Ruo 2GB (ọbụla 12+ awa nke 128 kbps ụda). Maka ndekọ n'ime oge, wepụta ya n'ime segments mọọbụ jiri /api/ batch endpoint.

Nweta n'efu — 30,000 tokens/ụbọchị

Kewapụta akaụntụ

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