Kpọpụta ndehie/Nkekọrịta ihenhọrọKpọpụta ndehie/Nkekọrịta ihenhọrọ
Ntụgharị AI Ntụgharị YouTube transcript Podcast transcription Ntụgharị Òyì nà ngwe Vidéòdù ka ngwe Ntụgharị oku ekwentị Oge →

Nhazi ngosi

Ónyénwē n'ọrụ 579 models Ónweghị ákàrà 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 otu na-abịa, PMs + execs 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 n'ime na-enyefe. Anyị na-eme diarization + AI summary na otu n'ime n'okporo ụzọ.
  4. Nweta nchịkọta + ihenhọrọ ọrụ na elu, ntụgharị zuru ezu n'okpuru. Bubata TXT/DOCX/SRT/JSON.

Free.ai vs Otter, Fireflies, Gong

Ụdị 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 chọrọÓnyénwēYesYesEnterprise
A na-ewere ya dị ka onye ntorobịa kacha mma n'ụwa na 2016.
Nkarachọ ndị ahụ
Nke ahụ
Token na-aga n'okpuru. Wepụta Token
Ịchọrọ nsonaazụ ka mma? Premium models (GPT-5, Claude, Gemini) wetara ogo dị elu. Gosi _Nhazi

❤️ Ịhụnanya Free.ai? Kpọtụrụ enyi gị!

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

Ịchọrọ ihe ọzọ? Nweta n'efu: 30,000 tokens/ụbọchị
Ndebanye aha

Na-arụ ọrụ n'ihe nchọgharị gị...

Kpọnye n'ime nchọgharị na oku na AI. Nchọpụta onyeọsụsụ gụnyere.

Otu esi eji ya Nhazi ngosi

1
Tinye inu gị

Tinye ngwe, bubata faịlụ, mọọbụ gosi ihe ịchọrọ. Achọrọghị akaụntụ.

2
Pịa iji mepụta

Anyị AI na-enyocha arịrịọ gị n'ime sekọnd site na iji 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"}'

Nhazi AI

Ntụgharị AI
Ntụgharị
YouTube transcript
Podcast transcription
Ntụgharị
Òyì nà ngwe
Vidéòdù ka ngwe
Ntụgharị oku ekwentị

Nhazi ngosi - FAQ

Meeting mode na-achọpụta 2-10 speakers n'ụzọ nkịtị, na-emepụta AI summary + bullet-point action items na elu, na-ewepụ follow-ups + decisions + attendees ka ndị otu na-eduga nwere ike ịkpapụta output n'ụzọ ziri ezi n'ime ntọala izu ha.

Ọdịnaya-nchọpụta site na 2-10. Ọ bụrụ na ịmara ọnụọgụgụ onyeọsụsọ, hazie slider maka ngosipụta nke ọma - nkọwa ndị dị n'akwụkwọ na-ewepụ mmehie n'ịgụnye site na ~15% na nsụgharị n'ime ụlọ nzukọ.

A 3-5 okwu executive summary, a bullet ndepụta nke omume ihenhọrọ na assignees mgbe aha, key nzọụkwụ e mere, na ndị na-eso ụzọ aha (pulled site na speaker labels). Generated by an LLM on top of the raw transcript - ~300 extra tokens.

Otter caps na 300 nkeji n'efu, $ 16.99 / ọnwa maka 1,200 nkeji, English-n'ogbe. Anyị na-eme asụsụ 99 na ~ $ 0.003 / min ụgwọ ọrụ, na-ejikọta LLM-emepụtara summary + action ihe ndị a gụnyere na ~ 300-token AI post-processing ụgwọ.

Fireflies bụ $ 10 / onye ọrụ / ọnwa ($ 18 / onye ọrụ maka AI summaries). Anyị na-akwụ ụgwọ n'otu minit, enweghị ikike, 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 transcription + summary + action ihe maka ọ bụla nzukọ ụdị na a fraction nke ụgwọ - ọ bụghị CRM, ma ị na-enweta ọcha exports iji tinye ebe ọ bụla.

Ekpughe dịka DOCX (Word-compatible, iṅomi na Google Docs), TXT na blọgụ ndị ahụ ejirila okwu na-edebe, mọọbụ JSON. Debata ihenhọrọ ndị ahụ na-emegharị na-abanye na Notion - ha na-egosipụta dịka ndesịta akara-ala.

Faịlụ ndị a na-ebubata a na-ehichapụ mgbe a na-edegharị ha. E dere ha n'okpuru akaụntụ gị maka ụbọchị 7 (akwụ ụgwọ) mọọbụ awa 24 (n'efu). Maka nhọpụta ndị dị n'ime, wepụ ụda akụkọ ihe mere eme mgbe a na-edebata ha.

Ee, mana nghọta nke diarization bụ nke kacha mma mgbe onye ọbụla na-ekpegharị na nso nso a nwere mic ya onwe ya. Oyi nke ọbụla na-ekpegharị na-enwe ọtụtụ ndị na-ekwu okwu nwere ike mgbe ụfọdụ ịgwa ụda abụọ n'ime léèbụ̀ 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 - anyị na-ejikọta "nkwenye na-enyocha" n'ihi na ihe nkiri.

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

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

Nweta n'efu: 30,000 tokens/ụbọchị

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