I built VPT because I’m a lawyer in Brazil, and I kept running into the same problem many other Brazilian lawyers face: transcribing hearings, client recordings, legal audio, and old media files reliably is still harder than it should be.

Most transcription tools force you into a single AI engine and reject or badly convert unusual files. But legal work is messy in real life — sometimes it’s a court hearing, sometimes a WhatsApp audio, sometimes an old recorder file, sometimes a drone video, surveillance footage, or a badly compressed media file from years ago.

So I built a platform that gives you flexibility instead of forcing a one-size-fits-all workflow.

What makes VozParaTexto different:

3 AI engines in one place — AssemblyAI, Whisper, and ElevenLabs. You choose the best engine for each file.
Massive file compatibility — 422 video formats + 516 audio codecs supported, which helps a lot with older files, recorder exports, drone footage, and mixed media that other tools often reject or process poorly.
YouTube transcription — just paste a URL and get the transcript.
Browser recording — record meetings, interviews, or legal conversations directly in the browser and transcribe instantly.
35+ languages.
Rich exports — TXT, DOCX, PDF, SRT, and VTT, with timestamps, speaker labels, and files ready to support professional workflows.
Audio analysis tools — including waveform/hash-based processing and other utilities that help organize and validate files before using them in practice.

This has become especially useful for legal professionals because it makes it much easier to turn hearings, statements, and recordings into usable text for petitions, briefs, and other procedural documents.

We’ve also already secured partnerships with the Brazilian Bar Association (OAB) in two states, which has been a strong signal that this solves a real problem for the legal market here.

Free tier: 30 min/month, no credit card required. Paid plans start at around $4/month.

Would love your feedback — especially from people working with transcription-heavy workflows. What would you want to see next?

VoxScriber

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