Pesen swara dadi teks ing 100+ basa · transcription.solutions

Pesen swara dadi teks.100+ basa, format operator apa wae.

Ekspor pesen swara minangka MP3 utawa WAV saka aplikasi visual voicemail operator, kothak mlebu VoIP, utawa sistem PBX. Unggah file lan entuk transkrip wektu ing sawetara detik.

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

Audio in. Transcript out.

Drop a file, paste a URL, or record live — text appears back with speaker labels and timestamps. Same pipeline whether the source is a file, a URL, or your microphone.

Microphone · liveREC 00:07.41

en-US auto-detected16 kHz mono

~90s

Transcript · streaming2 speakers · 47:08

Thanks for making the time. I want to start with framing — what was the original hypothesis behind the project?

Honestly, maybe forty percent. The shape held — the mechanics underneath had to be rebuilt almost entirely.

What flipped it for you? Was there one customer call, one piece of data

~95% accuracy on clean audioSRT · DOCX · 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

Built-in dictation

Live, free, on-device. Handy for short bursts while you talk.

Accuracy · clear English~85%

Speaker separationNo

TimestampsNo

Languages~30

60-min fileLive only

CostFree

Best forShort voice notes while you walk. Hands-free messaging. Dictating an email at a stoplight.

Option 02

AI speech-to-text

~30× faster than realtime. 100+ languages. Speaker labels. The sweet spot for most work.

Accuracy · clear English95%+

Speaker separationYes (Pro+)

TimestampsPer sentence

Languages100+ auto

60-min file~90 s

Cost · per min$0.03

Best forInterview recordings · meeting notes · podcast transcripts · YouTube subtitles · batch jobs · API automation · field journalism.

Option 03

Human transcriber

Gold-standard accuracy when the audio is hard or the stakes are legal.

Accuracy · clear English98–99%

Speaker separationManual

TimestampsPer turn

LanguagesPer transcriber

60-min file4–8 hours

Cost · per min$1–3

Best forLegal depositions · medical dictation · archival oral history · anything where 95%+ accuracy is non-negotiable.

Built-in dictation figures from public iOS / Android speech API benchmarks. Human transcriber rates from US/UK industry surveys 2024–2025.

7 things people ask about this.

01Kepiye cara ngekspor pesen swara saka telpon utawa operator?+

Google Voice: klik pesen swara, klik More, download minangka MP3. Microsoft Teams Phone: bukak pesen swara ing tab Calls, klik Download. Visual voicemail (iPhone): tutul pesen swara, tutul ikon bagikan. Android visual voicemail: tutul pesen, tutul menu telung titik, bagikan utawa ekspor. Panyedhiya VoIP: download saka portal utawa nampa minangka lampiran email.

02Format audio pesen swara apa sing didhukung?+

MP3, WAV, OGG, AMR, lan umume format operator umum. Google Voice lan Teams Phone ngirim MP3. Umume panyedhiya VoIP ngirim WAV. Operator seluler bisa ngirim AMR utawa OGG. Kabeh ditampa tanpa konversi.

03Akurasi apa sing bisa diarepake saka transkrip pesen swara?+

88%+ ing pesen swara operator standar sing ditinggalake ing lingkungan sepi. 80%+ ing rekaman rame utawa telpon kanthi kompresi abot. Audio pesen swara minangka kualitas telpon (8 kHz), sing matesi watesan dibandhingake karo memo swara — nanging cukup kanggo ngenali rincian panelpon lan nomer telpon balik.

04Apa aku bisa transkripsi tunggakan pesen swara kanthi massal?+

Ya. Kirim saben pesen swara minangka proyek kapisah menyang /api/v1/jobs kanthi URL webhook sing dienggo bareng — Business nganti 50 proyek bebarengan, Pro nganti 20. Tunggakan 200 pesen swara rampung kurang saka siji jam ing Business. Format ekspor DOCX, TXT, lan JSON kasedhiya. Auth JWT, watesan tingkat per-tombol.

05Apa iki ndeteksi basa panelpon kanthi otomatis?+

Ya. Basa otomatis dideteksi saka 30 detik pisanan audio. Panelpon sing ninggalake pesen swara ing basa Prancis, Spanyol, Mandarin, utawa salah siji saka 100+ basa bakal duwe pesen swara ditranskripsi ing basa kasebut tanpa setelan manual.

06Apa diarisasi speaker kasedhiya kanggo pesen swara?+

Ya, ing rencana Pro lan Business. Umume pesen swara duwe speaker siji. Kadhangkala pesen swara karo wong loro ngomong (obrolan sing ora sengaja dijupuk) utawa urutan auto-attendant + panelpon bisa dipisahake.

07Apa aku bisa nggabungake transkripsi pesen swara karo CRM?+

Ya, liwat API. POST URL audio pesen swara nalika pesen anyar teka, nampa transkrip liwat webhook, lan push teks menyang CRM utawa helpdesk. Sawetara tim dhukungan pelanggan nggunakake pola iki kanggo ngisi cathetan tiket kanthi otomatis saka pesen swara.