MP3 · WAV · OPUS · M4A · MP4 · up to 5 GB
AI Audio Transcription — Fast, Accurate, and Free to Start
Convert any audio to text in minutes. AssemblyAI engine with 99% accuracy, speaker identification, and export in 6 formats. Free up to 30 min/month.
🎙️ Transcreva gratuitamente
Faça upload do seu áudio ou vídeo e receba o texto em segundos.
30 minutes free per month. No credit card required.
Formatos suportados: MP3, WAV, OPUS, M4A, MP4, OGG, FLAC (up to 5 GB)
Como funciona
Upload your audio file
Drag and drop the file onto the upload area or click to browse. Accepted formats: MP3, WAV, OPUS, M4A, OGG, FLAC, MP4, MOV, AVI, MKV — up to 5 GB. No pre-conversion needed.
AI processes and transcribes
The AssemblyAI engine analyzes the audio in real time: separates speech from background noise, identifies speakers, applies automatic punctuation, and normalizes the text. A 1-hour file is ready in under 3 minutes.
Review, edit, and export
The transcript appears in an editor synced with the audio — click any segment to hear the original. Export in TXT, DOCX, SRT, VTT, PDF, or JSON. Files are stored in your dashboard indefinitely on paid plans.
Why use AI for audio transcription?
Manual transcription — a person listening and typing — takes an average of 4 hours to transcribe 1 hour of audio. With VoxScriber, the same file is ready in under 3 minutes. That's not just speed: it's the difference between a viable task and an impossible one for most people.
Professionals who transcribe regularly — journalists, lawyers, doctors, researchers, content creators — save between 10 and 40 hours per month by switching from manual to AI transcription. At $50/hour of work, that's $500–$2,000 per month in recovered productivity.
The current accuracy of top AI transcription engines (95–99% for good-quality audio) has made human review a quick post-processing step — no longer a full re-typing from scratch. Most VoxScriber users spend less than 5 minutes reviewing the transcript of a 1-hour meeting.
Which professionals use audio transcription the most?
Journalists and media professionals transcribe interviews and press conferences directly from recordings to text, accelerating article and report production.
Lawyers and law firms use it to transcribe hearings, depositions, dictated filings, and client meetings. It integrates with legal documentation workflows.
Doctors and healthcare professionals transcribe consultations (with patient consent), anamneses, and reports, reducing clinical documentation time.
Researchers and academics transcribe qualitative interviews, focus groups, and field research. Speaker identification simplifies multi-party conversation analysis.
Content creators and podcasters transcribe episodes to generate blog posts, captions, newsletters, and social media snippets from a single audio file.
Managers and corporate teams transcribe Zoom, Google Meet, and Microsoft Teams recordings to auto-generate meeting minutes, action items, and decision logs.
How to get the best transcription quality
The accuracy of automatic audio transcription depends heavily on the original file quality. A few practices that significantly improve results:
Recording: Use a dedicated microphone when possible. Lapel mics ($10–$30) dramatically improve quality over a laptop's built-in mic. For interviews, the Rode VideoMicro or DJI Mic are accessible references.
Environment: Reduce background noise. Close windows, turn off fans and air conditioning during recording. AI handles light noise well, but heavy noise reduces accuracy.
Diction: Speak at a moderate pace. Very fast speech increases error rates. Natural pauses between sentences help the AI correctly identify sentence boundaries.
File format: WAV (uncompressed) offers the highest quality, but MP3 at 128 kbps or higher is sufficient for accurate transcription. WhatsApp OPUS files work well despite high compression.
Perguntas frequentes
Start free — 30 minutes of transcription, no credit card required
Try free — no credit card →30 minutes free per month. No credit card required.