No transcript segments found.

Powerful, Simple, Fast

Supported Formats

MP3, WAV, FLAC, OGG, M4A, OPUS, MP4, MOV

Max File Size

100 MB

Processing Time

~Real-time to 2x audio length

Outputs

TXT, SRT/VTT, DOCX, PDF, JSON

FOR DEVELOPERS

Developer-Friendly API

Integrate transcription and diarization into your apps with a simple API and SDKs.

  • REST endpoints
  • SDKs for Python & JavaScript
  • Comprehensive docs
  • Scalable infrastructure
PYTHON
JAVASCRIPT
CURL
1from audiopod import AudioPod
2

3# Initialize client
4client = AudioPod(api_key="YOUR_API_KEY")
5

6# Transcribe file
7result = client.transcription.transcribe(
8    file="meeting.wav",
9    diarization=True,
10    word_timestamps=True,
11)
12

13# Export
14txt = result.export("txt")

Meetings & Calls

Accurate transcripts with timestamps and speakers for quick notes.

Podcasts & Shows

Edit and repurpose content with clean transcripts and chapters.

Customer Support

Analyze conversations and improve QA with searchable transcripts.

Research & Interviews

Quote accurately and accelerate analysis with diarized transcripts.

Fast

Processing Speed

Latest Gen

AI Model

9.7/10

Quality Score

99.8%

Success Rate

Ready to Transcribe?

Turn hours of audio into clear, searchable text with speaker labels.

Speech to Text - Accurate Transcription & Diarization | AudioPod | AudioPod AI