Transcription & diarization
Fast, accurate transcripts with speaker labels and word-level timestamps. Upload a podcast, interview, or meeting and know exactly who said what — no more rewinding.
Diarized transcript
2 speakersSpeaker 1
So where do you want to start?
Speaker 2
Let's walk through the numbers first.
Speaker 1
Perfect — I'll pull them up now.
Drop in audio or video (MP3, WAV, MP4, and more), or paste a shareable URL.
Turn on speaker diarization to label who spoke when — optional but recommended.
Start processing; most files complete quickly.
Export TXT, SRT/VTT subtitles, DOCX, PDF, or time-stamped JSON.
Accurate text, speaker labels, timestamps, and clean exports — ready to use.
Speaker diarization
Automatically detect speakers and label who spoke when, with consistent labels across the transcript.
Word-level timestamps
Optional word timestamps for click-to-seek review, captions, and precise editing.
Every export format
TXT, SRT/VTT subtitles, DOCX, PDF, and structured JSON — whatever your workflow needs.
Audio, video, or a link
MP3, WAV, FLAC, OGG, M4A, OPUS, MP4, MOV — or paste a URL and we extract the audio.
100+ languages
Transcribe in a wide range of languages with automatic language detection.
Built to automate
Transcribe files or URLs at scale over a documented REST API and SDKs.
How AudioPod compares to a typical single-purpose transcription tool.
Speaker labels
Exports
Sources
Languages
Automation
Getting started
For developers
Convert audio and video to accurate text with a few lines of code — speaker diarization, timestamps, and multi-language support, with job status you can poll.
# Initialize the client
from audiopod import AudioPod
client = AudioPod(api_key="ap_xxxxx")
# Transcribe from file with speaker diarization
result = client.transcription.transcribe(
file="meeting.wav",
language="en", # or "auto" for detection
enable_speaker_diarization=True,
max_speakers=5,
enable_word_timestamps=True
)
# Export in different formats
transcript_json = result.export("json")
transcript_txt = result.export("txt")
subtitle_srt = result.export("srt")
document_docx = result.export("docx")
# Access detailed results
for segment in result.segments:
print(f"Speaker {segment.speaker_id}: {segment.text}")
print(f"Time: {segment.start}s - {segment.end}s")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.
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Upload audio or paste a link and get accurate transcripts with automatic speaker labels, timestamps, and one-click export.