Speech to text — free online speech-to-text converter, 99 languages

Speech to text.Free, online, in 99 languages.

Speech to text — also called voice to text, audio transcription, or speech recognition — turns spoken audio into searchable, editable text. Drop a file, paste a URL, or hit record in the browser. Free for 30 minutes a month, no card, no install.

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.

8 things people ask about this.

01What does speech-to-text mean?+

Speech to text is the conversion of spoken audio into written text by an AI model trained on speech recognition. Also called voice to text, audio transcription, or automatic speech recognition (ASR). Modern speech-to-text reaches 95%+ word accuracy on clear English audio and supports 99 languages.

02Is speech-to-text free?+

Transcription.solutions includes 30 minutes per month of free speech-to-text — no credit card required. Pro ($19/month) covers 600 minutes; Business ($49/month) covers 2,500 minutes. There is no time limit on Free — you get the 30 minutes every month indefinitely.

03What is the most accurate speech-to-text in 2026?+

AI speech-to-text from major providers reaches 95%+ word accuracy on clean English audio in 2026, roughly comparable to a human transcriber on the same recording. Accuracy drops to 88–92% on phone-quality audio, noisy environments, or strong accents. For legal or medical recordings, a human review pass on top of AI output remains the recommended standard.

04How does speech-to-text work?+

The audio is split into overlapping chunks (10–15 minutes each), passed to a neural network trained on millions of hours of speech, and the predicted text is reassembled with timestamps. Speaker diarization runs as a second pass to label distinct voices. Language is auto-detected from the first 30 seconds.

05Can I do speech-to-text on a long audio file?+

Yes. Pro and Business accept files up to 10 hours per upload. Long files split into parallel chunks and reassemble with aligned timestamps and globally consistent speaker IDs — you get a single output file, not a folder of partial transcripts.

06Does it work offline or only online?+

Our speech-to-text runs online — the audio uploads to our servers for transcription and the result returns in your browser. There is no offline desktop app. For offline use cases, Apple's Voice Memos and Google's Recorder app offer device-side speech-to-text at lower accuracy (~85%).

07Is my audio data private?+

Source audio is permanently deleted within 24 hours after transcription completes. Transcripts and summaries stay in your account until you delete them. We do not train AI models on your data.

08What's the difference between speech-to-text and voice-to-text?+

They are synonyms — both describe converting spoken audio into written text. "Voice to text" is more common in consumer contexts (iPhone voice notes, messaging apps); "speech to text" tends to be used for longer recordings and professional tools. The underlying technology is the same.