media

Audio
Text
Converter

Transcribe audio files into text with high accuracy. Supports speaker diarization, punctuation restoration, timestamps, and over 50 languages. Handles podcasts, calls, meetings, and broadcast audio.

Max file size: 2 GB

Estimated: 1-5 min per hour of audio

7 input formats

How It Works

Upload an audio file or provide a URL.

The audio is preprocessed (noise reduction, normalization).

Speech is transcribed using a large speech model.

Speaker diarization assigns text segments to individual speakers.

Timestamps, punctuation, and formatting are applied.

Code Examples

from mixpeek import Mixpeek

client = Mixpeek(api_key="YOUR_API_KEY")

result = client.convert(
    source="https://example.com/podcast-ep42.mp3",
    from_format="audio",
    to_format="text",
    options={
        "speaker_diarization": True,
        "timestamp_granularity": "sentence",
        "vocabulary_boost": ["Mixpeek", "multimodal", "RAG"]
    }
)

for segment in result.segments:
    print(f"[{segment.speaker}] {segment.text}")

Use Cases

Transcribe podcast episodes for show notes and SEO

Convert call center recordings to searchable text

Generate meeting minutes from recorded calls

Create text datasets from audio archives

Supported Input Formats

MP3

WAV

FLAC

OGG

AAC

M4A

WMA

Quick Info

Categorymedia

Max File Size2 GB

Est. Time1-5 min per hour of audio

Extractoraudio-descriptor

Try This Conversion

Get started with the Mixpeek API and convert your first file in minutes.

Frequently Asked Questions

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