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Amanothi emici avela kulemici elimaliwe.Asabalaliswe ngaphambi kwentlanganiso elandelayo.

Hlakaniselani i-umici orekhodwe ovela kunoma iyiphi inkundla. Thola i-speaker-labeled transcript kanye nesigaba samanqawusha okumethe — izinqumo, izinto okufanele zenze ene-owner, imibuzo evulekile — esilungile ukubhalwa ku-Slack noma 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

Sign up takes 30 seconds — recording opens right after, in the dashboard.

No card required~90s per 60-min fileSRT · VTT · DOCX · TXTFiles auto-deleted in 24h

↓ Buka okuncuma

Ukorekhode Kusisindo. Amanothi ithimbe yazokusebenzisa ngempela.

Akathuki-ke udlulo lwe-transcript nje. Ngemuva kwe-diarization, isigaba se-summarizer sikhipha i-meeting structure — okuthulwa kancike, ubani umumnandi okuthini, okusasikhona. I-transcript egcina isezansi uma ummangali ufuna ukukhuluma.

Ukorekhode komdlalo wemkhiqizoREC Abakhulumi aba-4 · 32:14
i-auto-detected en-US44.1 kHz stereo · 192 kbps
~90s
Amanothi · umjikeloUbuchwepheshe obuphakamile 95%
S1

Ngakho-ke ekucushulweni kwe-onboarding — ngabe siyathukulula umjikelo omusha lesprent noma sisithela?

S2

Sisithela. I-empty-state copy ayikatholile umvume futhi ilegale iflagiwe iskrini ezimbili izolo.

S3

Ngingakwazi ukubuyisa yokubuyiswa kwelikali ngomgqibelo uma uPriya akwazi ukushintsha izibalo ngoLwesihlanu.

S1

Kusebenza kahle. Makahlose i-ship ngoMsombuluko olandela-ke.

Ubuchwepheshe obuphakamile 95% kumici yethimbeDOCX · SRT · TXT · JSON

↓ This is the dashboard

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.

Try it on your own file — it's free

Izinketho ezintathu zangempela · ukuqhathanisa ngokuqina

Fathom noma Fellow. Granola. Noma thina.

UFathom naFellow babhezi njengo-bot ekhalendeni lakho. IGranola izwile ngokusanda kumakompiyutha lakho. Siyasebenza kumfayela ngemuva komici — noma yikuphi ithuluzi elirekhode.

Option 01

Fathom / Fellow

I-bot yeklasini ibhizela ukuthi umici. Amanothi akhiqwe live, ahlehlisiwe ku-app yabo.

IdingaCalendar OAuth + bot ku-invite
Isebenza kulemici eliyimpiOkuncane / amagqola okukhokha
IzilimiUkubanguqulela kwokuqala
UkuakhisiweIsibhodi sabo + CRM push
Intengo$0 free tier — $19+/user/mo okukhokha
Best forAmathimbe ethengiselo afuna i-bot kukamici konke futhi aziqinisele ngokuCRM auto-push.
Option 02

Transcription.Solutions

Hlakaniselani ifayela. Thola i-transcript + amanqawusha okumethe. Akukho bot, akukho calendar access.

IdingaIfayela lorekhordu. Nje nje lokho.
Isebenza kulemici eliyimpiYebo — nanoma ifayela eliphi, iminyaka eliphi
Izilimi99, i-auto-detected
UkuakhisiweDOCX · SRT · TXT · JSON
Intengo · nge-min$0.03
Best forAmathimbe athula ephathefomu elahlukahlukile (Zoom, Meet, Teams, kumuntu zingile) futhi athanda amanothi ngaphandle kwe-vendor dashboard.
Option 03

Granola

I-Mac app ibambile i-system audio + indlelalakho. Isibhodi se-note-taking yidiffarensi.

IdingaI-macOS app ifakiwe
Isebenza kulemici eliyimpiCha — kufanele isebenze ngesikhathi somici
IzilimiI-English-leaning
UkuakhisiweMarkdown, Notion, Linear
Intengo~$18/user/mo (i-approximate)
Best forAbakukhompyutha be-Mac abafaka amanothi live futhi bathanda i-AI ukuba aneze ngemuva.

Intengo neziphumuzo zamafesha ye-approximate ngo-2026. Izinto ezithandwe yi-bot-based zamagqola okwazi nje — hlola isayithi yabo ngemanothi yamanje.

Inanzelele kumici amanothi

Izinto ezintathu ezinomthetho umici-amanothi ku- generic transcribers.

I-Generic ASR ikunikeza udlulo lwebhange leteksta. Umici-amanothi idinga umetha — vula lokhu ukuze i-summarizer bakwazi okukhonzwe.

Okuzima

  1. 1Izinto okufanele zenze ziyafiliswa ebangeni leteksta. I-Generic transcripts izubila 8,000+ amagama. Akukho umuntu ozibuyisela. I-'who umningi okuthini' evela neminiti engu-24 iyalahleka.
  2. 2Abamineni banikwa umuntu omungcono. Ngaphandle kwe-speaker labels, 'Ngizothatha lokho' ikakhuhlumanisa — i-summarizer iqaja ngokwensimu futhi iyaphutha.
  3. 3Amagama emkhiqizo angaphakathi ayakha. Amagama akho ephrojekiti, izithuluzi zangaphakathi, izikhalifamu zekhashimeri ziphuma i-phonetic. 'Project Halo' ikuba 'project halo' noma 'project hello'.

Okuzofaka nalapha

  1. 1Vula i-Action items + decisions kwisethiwe yesifingqo. Isinto ngsinye ikwakhula ne-owner, umhla wokuqedela uma khulumiwe, kanye nohlu lwesikhalashipi lwe-transcript.
  2. 2Qiniseka i-diarization ivulekile phambi kwenhlakaniselwa. Bese ubuyisele amachiphe akhuluma ezigameni zangempela ekudengu lokuqala — i-owner attribution ngesikhathi sikuzondelela kucele lokho.
  3. 3Ubhalele amagama ephrojekiti, amagama ethimbe, izikhalifamu zekhashimeri kwi-Custom vocabulary. I-Recognizer ayibambile njengamathiphu, hhayi nokukuqonda okukaqondile.

Izethiwe zomsebenzi ezoncomekaye kumici amanothi

Weleza ifayela lomici futhi lokhu kuvula ngisumazane. Vula nge-job evela efomu.

Diarization
Vula · acoustic + channel uma stereo
I-Speaker model
Okukhuluma · 2-10 abakhulumi
Ulwimi
I-Auto-detect
Amagama okugcwalisa
Kususiwe
Isiqumo
Izinqumo · izinto okufanele zenze · imibuzo evulekile
Ukuakhisiwe
DOCX (transcript + notes block)

Accuracy · real-world numbers

Ubuchwepheshe obuphakamile 95% kumici yethimbe. Amanothi amahlela kabusha kunokuthi i-transcript.

Ukumiswa kwamatrascript accuracy kuthi i-mic quality kanye ne-overlap. Ubuchwepheshe bamanqawusha okuthwete behlela kabusha — i-summarizer ingawo amanothi kanye nenkonzo ezinye uma amagama ambalwa asibubhubhudile. Izinombre zezansi zivela ekufailini lokumici lekusaka kwangempela.

95%+
I-Headset / i-individual mics, ≤4 abakhulumi

Umuntu ngamunye ekhe-mic yabo, umsindo omubuthakathaka. I-Action item extraction cishe-perfect — amagama, ezinsuku, abamineni konke kwenza.

92%
I-Laptop mic, i-hybrid call, 4-6 abakhulumi

Okuvamile kakhulu. I-Stereo capture evela ku-Zoom/Meet/Teams. I-Diarization thabathi, amakhefu aweka ku-voices okufanayo.

88%
I-Conference room mic, 6+ abakhulumi

I-Omnidirectional mic eyodwa phakathi netafula. I-Cross-talk iyenzeka. Amanothi agcina abantu baqonda izinqumo; amagama aqondile adinga ukuhlolwa okuphansi.

82%
I-Phone ilerekhode cishe kumuntu wakhuluma, umuntu zingile

I-Phone etafuleni ye-in-person meeting. Umsindo omuntu, amagamane. Sebenzisa isifingqo samanothi; thata i-transcript njengakoqobo lokukuqala.

Imibuzo evamile

Izinto engu-8 abantu abuza ngayo kumici amanothi.

01Ngabe i-AI summary ngempela ibamba i-action items ngendlela elungile?+
Yebo, uma amalebuli akhuluma eluhlaza. I-Summarizer ibheka amagama okuthi konza ('Ngizothatha lokho', 'Ngingakwazi ukuqedela ngoLwesihlanu') kanye nokwohlela umuntu okhethule. Uma uvule i-rename pass ku-speaker chips, abamineni baye njengo-'Speaker 2' esikhundleni samagama — okwenza kwehlisele intengo.
02Ngabe ungangenisa umici wam we-Zoom noma Meet live njenge-Otter noma Fathom?+
Sine-bot para ku-Zoom ne-Meet, kodwa i-primary flow uvulekile-ngemuva. Ilandela amathimbe ayarekhodwa eyona ilerekhodi evela kuphathefomu le-meeting yabo — sisebenze evela ekufailini. Akukho calendar OAuth, akukho bot ekubonakala okungukungazinziswa.
03Uyabukeka ntoni u-DOCX ngesikhathi ngiyakulandela?+
Izigaba ezimbili. Ingxenye yokuqala i-AI notes block — izinqumo, izinto okufanele zenze ene-owner, imibuzo evulekile, izihloko ezibalulekile — esilungile ukubhalwa ku-Slack noma project tracker. Ngezansi i-full speaker-labeled transcript ezinezungu dz'amaminete. Abantu abayingi bethela ingxenye phezulu, bhiyela ingxenye engezansi.
04Ngabe lokhu kuzosebenza kumici ye-in-person ilerekhode f-phone?+
Yebo, nezinqoso. Ukulindela ~82% i-transcript accuracy ku-phone-on-the-table recording — umsindo nokukhuluma okude kunomthetho. Amanqawusha okuthwete asabagubela ngoba i-summarizer inomasinidi emagama-level amaphuthi. Thathe i-transcript njengakoqobo, kholofela amanothi.
05Ningani ninilela amagama asikakusebenzisele kumici?+
Ifayela lomsuka lisikhanyele ngokuphelele ngaphakathi kwa-24 amahora ngemuva kokusebenza. I-Transcript namanqawusha ayalala ekhaundi lakho kuze igubhe kufanele. Akusebenzisi izixulela zesifundo ezitha ku-audio yakho. I-SOC 2 Type II iyaqhubeka; buza uma udinga i-bridge letter.
06Ngabe amanothi ngingawukusukela ngqo ku-Notion, Linear, noma Slack?+
Hatshi — akukho native integrations kuzo izithuluzi zephrojekiti. I-DOCX kanye Markdown exports akusekelwe ukuba ibhale ngendlela enhlanhla kunokho konke. I-Zapier-style trigger ekusebenzeni ko-job insertion ekwenzeni roadmap.
07Ubukuthini kumici nakukwazi izilimi ezimbili noma abakukhulema abangesiZulu?+
I-Auto-detect ikhetha ulwimi olwaphakathi. Para kumici ekusiswa kuhle (isibonelo i-Spanish + i-English code-switching), ubuchwepheshe ewulwimi omuncu wehlela amaphuzu ambalwa. Sinani izilimi ezingu-99 kanye nesisigaba sesiqumo sakhiqwe olwimini olufanayo ne-transcript.
08Isikhathi esingaki isikhalashipi kumici ngemuva kokuhlankelani?+
Cishe i-0.1× real time para i-transcript, kanye neminiti engu-30-60 para esigabeni sesiqumo. Umici oweminiti engu-60 iqedwe neminiti engu-6-7. Uzothola i-email ekusebenzeni kumici ukuqedwa — bhala amanothi ku-standup yakho ngaphambi kokuthi iqalise.

Veleza umici orekhodwe. Thola amanothi ngaphambi kothi intlanganiso elandelayo.

Vimbela miniti engu-30 nyanga ngayinye. Akukho kadi. Amalebuli akhuluma, izinto okufanele zenze okuqonda, nokukuklasha okugcina I-DOCX kubandakanyiwe.

Qalisa kukhululekile