Otter for Students
App toki-toki mo kalasi mode. EN-ʻoʻo, 30-import topoʻi ʻi he maheu taʻu.
Toʻo ha siga lea kalafi mei he peni, fakasiʻo lea tohi, pe URL poletifomu akoako. ʻAlo ha fulipeli tohi taimi mo e kalave fakaangatuʻi mei he ngaahi faʻahiʻo — mo ha fakamatamatakuge lea faka-AI.
MP3 · WAV · M4A · MP4 · MOV · MKV · OGG · OPUS · FLAC · WEBM — up to 100 MB anonymously
YouTube · TikTok · Vimeo · Twitter · SoundCloud · Spotify · 50+ more
↓ Vakai he meʻa ʻe foʻi mai
Ko e siga lea kalafi ʻe ʻikai maheu — ko e kalave ʻi he lapela mic, ko e faʻahiʻo akonga mei he 40 pule maʻangu, ʻo e upu lahi ʻe fakatonutonu ʻi he kampanī. Tatau hanga ʻae tangata ʻae taʻu ʻae ngaahi topu ʻae fulisila mo e meʻa mahalo toki.
Ko e taimi-fakamanukasi ʻae meʻa ʻoku kinautolu e faka — ko ia ʻaia ko e houʻuli paʻanga i he SN1.
Kalave, ʻe fakatuʻu ʻae siga toʻutave ʻae houʻuli paʻanga?
Faʻahiʻo lelei. ʻIo — ko e vai pe methanol ʻe fakatuʻu ʻae houʻuli paʻanga ʻi he solvation. Ko e meʻa ʻe ʻaonga mo e fakamatamatakuge ʻia.
ʻE ʻi he taulima ʻe fitu pe taulima ʻe valu?
↓ This is the dashboard
Same layout as the real dashboard — Summary, full Transcript, Speakers tab, Exports. Key points and action items extracted automatically. Auto-tags on every job.
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.
Mahina ngaahi filifiliga · teuteʻaki fakamo'oni
Ko e Otter ʻe tuku ha kalasi akonga mo e app toki-toki. Ko e upu tohi lima ʻe maheu kae ʻe foʻi atu ʻae leʻo maheu. Ke tatau ʻaki ʻae siga ʻoku ʻete fakamatalataki — peni memo, fakasiʻo lea tohi, pe ʻe Panopto download.
App toki-toki mo kalasi mode. EN-ʻoʻo, 30-import topoʻi ʻi he maheu taʻu.
Toʻo ʻae faili. Pe tuki ha Panopto/Echo360 URL. Lea kampanī ʻe tuʻunga, ʻikai ke tatau ʻae faʻamataʻi.
Maheu, kae ko ʻe fai ʻae mea ʻoku toʻo mo e faʻafiafia. ʻIkai mahalo, ʻikai replay.
Totonu mo ngaahi meʻa ʻe tika ʻi he 2026. Ko e Otter maheu-taʻu import topoʻi ʻe fakafeʻanga leo — mahalo ange otter.ai ʻo ʻikai ke mahalo ange.
Fakatonutonu mo e kalafi
Ko e siga lea kalafi ʻe koti ʻae faiʻa AI maheu ʻi he meʻa mahalo. Veto ia ʻo ʻu mahalo ʻi mua ʻo ʻe fakamatalataki.
Toʻo fali lea mo ʻae meʻa ʻoku tupu ʻi lalo ʻae meʻa muʻa. Veto ʻae faʻas fai mei ʻae fomu.
Accuracy · real-world numbers
Ko e muʻa ʻe fakatupu ʻilo e ʻe ʻe mic ʻae kalave, ʻikai ʻae fale. Ko e lapela wai ʻe foʻi ʻae lea kalafi-fakamatalataki ko e fiemataʻi lelei. Ko e peni ʻi he tafolo ʻi he liʻoli 12 ko e fiemataʻi leʻo. Ko e ngaahi kolomite ʻi lalo ʻe fai mei he leo mahalo akonga.
Foʻi toki mei ʻae lapela mic kalave. Sigi ʻoʻo, ʻikai ugavale kalafi. Ko e faʻahiʻo akonga ʻe hinga pe ʻe ʻikai ʻae fale mic.
Kalave ʻoʻo, maʻangu mahake. Ko e upu kampanī ko e meʻa fakaʻotuʻo — tuki ʻae fulisila ʻi he lea fakatonutonu.
Fale sigi 200-tano. Kalave ʻe toʻo ʻangle; faʻahiʻo ʻe mahalo maʻangu ʻe mahani mahani.
Fiemataʻi leʻo ʻi he mahalo — kalave ʻe ʻikai English ʻula, fale kalafi lahi, tapa pepa ʻe fakamāmā. ʻE tatau ʻoʻo mo e lokoloʻi.
Ngaahi faʻahiʻo mahalo
30 miniti maheu ʻae mahina ʻoʻo. ʻIkai loku. Kupu kalave, lea fakatonutonu kampanī, SRT captions, fakamatamatakuge AI — ʻae meʻa ʻoʻo ʻe kau.
Kamata maheu