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Transcribe audio and video to text

Turns audio or video files (MP3, WAV, OGG, MP4, podcast feeds) into text with timestamps and optional subtitles. Runs a built-in speech model, or your own OpenAI/Groq key for speed. Paste file URLs to start.

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Media Transcriber - Audio, Video & Podcast to Text, SRT, VTT
Media Transcriber - Audio, Video & Podcast to Text, SRT, VTTfabrikit/media-transcriber
Title
Lang
Seconds
Minutes billed
+5 fields
Text
Number
Boolean
List
Object

Input

Audio / video / podcast URLs
url:https://upload.wikimedia.org/wikipedia/commons/7/7c/Marcus_Garvey%2C_speech%2C_1921.ogg
Engine:local
Max minutes per file (0 = no limit):1

Output fields

Title
Lang
Seconds
Minutes billed
Engine
Status
Transcript
SRT
Error

How it works

Sign up on Apify or log in

The Media Transcriber - Audio, Video & Podcast to Text, SRT, VTT Actor is ready to run with the inputs already set for "Transcribe audio and video to text". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Transcribe audio and video to text" task

The Media Transcriber - Audio, Video & Podcast to Text, SRT, VTT Actor will start running based on the input automatically. You can also change all the input fields, like audio / video / podcast urls, engine, and more, to match your specific use case.

Receive the "Transcribe audio and video to text" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as title, lang, seconds, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Transcribe audio and video to text" task via API.

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Integrate "Transcribe audio and video to text" into your workflow

Connect "Transcribe audio and video to text" with 100+ integrations, or run it via API or MCP.

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