Organize transcript PDFs by guest and episode for editing workflowautomatically
When transcripts export, embed guest and episode in names so I can edit faster.
No credit card • Rename in under 3 minutes
sample.pdf
Waiting for rename…
Date
2024-10-14
Receipt #
102-1234567-123
Issuer
Amazon
Organize podcast and interview transcripts with guest and episode tracking.
- Connect transcript export folders or automated transcription services.
- AI extracts guest names, episode titles, and recording dates.
- Organize by show and episode for editing workflow.
Proof: 1.1k transcripts organized last month at 94.3% average confidence.
Before → after filenames
No more download.pdf. Every document follows your naming convention automatically.
receipt.pdf
2024-10-14_Amazon_Order_102-1234567-1234567.pdf
Example naming rule
Rename to 2024-10-14_amazon_102-123456
Why teams adopt this workflow
Guest identification: Extract guest names, titles, and relevant context from transcript content.
Episode organization: Organize by show, season, and episode for content production workflow.
Editing ready: Prepare organized transcripts for audio/video editing and post-production.
How it works
Transcripts auto-name to GuestName_EpisodeDate_EpisodeTitle.pdf with 94%+ accuracy, ready for editing.
- Connect transcript export folders or automated transcription services.
- AI extracts guest names, episode titles, and recording dates.
- Organize by show and episode for editing workflow.
FAQ
Can I handle multiple shows or series?
Yes. Configure rules for different shows with appropriate episode numbering.
Will it work with AI-generated transcripts?
Handles transcripts from various sources including AI transcription services.
How do I organize by topic or theme?
Include topic keywords in filenames and organize by content themes.
Make it part of your workflow
Connect integrations, use full-text extraction, or call the API for posts processing.
Supported in:
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