Transcribe Long Audio Files Beyond 25MB Limit with FileFlows and OpenAI Whisper
Who's it for
This template is designed for content creators, podcasters, businesses, and researchers who need to transcribe long audio recordings that exceed OpenAI Whisper's 25 MB file size limit (~20 minutes of audio).
How it works
This workflow combines n8n, FileFlows, and OpenAI Whisper API to transcribe audio files of any length:
User uploads an MP3 file through a web form and provides an email address n8n splits the file into 4 MiB chunks and uploads them to FileFlows FileFlows uses FFmpeg to segment the audio into 15-minute chunks (safely under the 25 MB API limit) Each segment is transcribed using OpenAI's Whisper API (configured for French by default) All transcriptions are merged into a single text file The complete transcription is automatically emailed to the user
Processing time: Typically 10-15 minutes for a 1-hour audio file.
Requirements
n8n instance (self-hosted or cloud) FileFlows with Docker and FFmpeg installed OpenAI API key (Whisper API access) Gmail account for email delivery Network access between n8n and FileFlows
Setup
Complete setup instructions, including FileFlows workflow import, credentials configuration, and storage setup, are provided in the workflow's sticky notes.
Cost
OpenAI Whisper API: $0.006 per minute. A 1-hour recording costs approximately $0.36.
Related Templates
Generate Product Ad Copy & CTAs with GPT-4 for Slack and Airtable
ā” AI Copywriter Pro: Instant Ad Copy & CTA Generator Transform product details into compelling marketing copy in second...
Instagram Full Profile Scraper with Apify and Google Sheets
šø Instagram Full Profile Scraper with Apify and Google Sheets This n8n workflow automates the process of scraping ful...
Compare Lists and Identify Common Items & Differences Using Custom Keys
This workflow compares two lists of objects (List A and List B) using a user-specified key (e.g. email, id, domain) and ...
š Please log in to import templates to n8n and favorite templates
Workflow Visualization
Loading...
Preparing workflow renderer
Comments (0)
Login to post comments