Frequently Asked Questions

Find answers to commonly asked questions about TranscriptionAid’s speech-to-text engine, privacy standards, file format support, subtitle export, and speaker diarization.

Audio & Speech-to-Text Technology

How does TranscriptionAid transcribe audio and video files?

TranscriptionAid utilizes advanced client-side AI speech recognition models that execute directly inside your modern web browser. When you drop an audio or video file into the application, your browser decodes the audio waveform and runs speech-to-text inference locally, outputting accurate text with synchronized timestamps without mandatory cloud uploads.

What audio and video formats can I upload?

We support a broad spectrum of popular media containers and codecs, including MP3, WAV, M4A, AAC, FLAC, OGG, MP4, MOV, WEBM, and MKV. The built-in Web Audio decoder ingests these formats seamlessly.

Privacy, Security & HIPAA

Is my media data kept private and confidential?

Yes. Privacy is a foundational pillar of TranscriptionAid. Unlike conventional cloud transcription APIs that store and analyze your sensitive audio files on third-party servers, our Browser AI Engine runs locally. Your audio and video never leave your machine unless you explicitly choose cloud-accelerated server modes.

How does the HIPAA Compliance Toggle work?

When you activate the HIPAA Toggle, TranscriptionAid locks all processing into sandboxed client-side memory, disables non-essential telemetry, and ensures zero persistent server caching. All memory allocations are purged immediately upon session completion.

Exporting & Subtitle Formats

What export formats are available for video creators?

You can download your transcripts in four primary formats:

  • SubRip (.SRT): The standard subtitle format compatible with YouTube, Premiere Pro, Final Cut, and DaVinci Resolve.
  • WebVTT (.VTT): Modern HTML5 video captions for web players and online streaming platforms.
  • Plain Text (.TXT): Clean paragraph-formatted transcripts for notes, documentation, and articles.
  • Structured JSON (.JSON): Full metadata including speaker tags, start/end millisecond timestamps, and confidence scores.

Speaker Diarization & Timestamps

Can TranscriptionAid distinguish between multiple speakers?

Yes. Our multi-speaker diarization algorithm analyzes vocal frequencies and speech turns to automatically label speakers (e.g., Speaker 1, Speaker 2), making podcast, interview, and meeting transcriptions clean and easy to read.