Audio to Text Converter Formats: MP3, WAV, M4A, FLAC and More
Audio to text converter formats compared: MP3, M4A, WAV, FLAC, OGG, WMA, WebM. Bitrate vs accuracy, ffmpeg conversion, file size and duration limits.
Every feature in the app is available as a JSON endpoint under /api/v1. Use the shared TypeScript client or plain HTTP.
curl -X POST https://v1085496.hosted-by-vdsina.com/api/v1/transcribe \
-H "Authorization: Bearer es_YOUR_KEY" \
-F "file=@meeting.mp3" \
-F 'options={"language":"en","speakers":true}'
# → { "job": { "id": "tr_…", "status": "queued" } }
curl https://v1085496.hosted-by-vdsina.com/api/v1/jobs/tr_… -H "Authorization: Bearer es_YOUR_KEY"import { EchoScribeClient } from "@echoscribe/shared";
const client = new EchoScribeClient({ baseUrl: "https://v1085496.hosted-by-vdsina.com", apiKey: process.env.ECHOSCRIBE_KEY });
const job = await client.transcribeUrl("https://youtu.be/…", { speakers: true });
const done = await client.waitForJob(job.id);
const insights = await client.insights(done, "en");Audio: MP3, M4A, AAC, WAV, FLAC, OGG, Opus, WMA, AIFF. Video: MP4, MOV, WebM, MKV, AVI, MPEG. You can also paste a YouTube or direct media link.
It depends on audio quality, language and the provider you choose. Clear speech in a major European language usually needs only light proofreading; noisy rooms, heavy accents and overlapping speakers need more. Custom vocabulary and the editor make fixing names fast.
Transcription in 98+ languages including English, German, French, Spanish, Polish, Russian, Italian, Dutch and Portuguese. The interface is available in six languages.
Files and transcripts are stored and processed on servers in the EU. You can delete a file at any time or set automatic deletion. We never use your content to train models.
Audio to text converter formats compared: MP3, M4A, WAV, FLAC, OGG, WMA, WebM. Bitrate vs accuracy, ffmpeg conversion, file size and duration limits.
Speech to text explained in plain language: how speech recognition turns audio into words, what accuracy really means, where it fails and how it is used today.
Practical transcription accuracy tips: microphone and room setup, sample rate, speaker separation, custom vocabulary, language settings, post-editing and WER.