01 / TRANSCRIPTS
Build a recoverable
caption inbox.
Bring YouTube captions into your RAG pipeline without losing source timestamps or confusing a failed database write with a failed fetch.
YouTube transcript workflowData tools for builders & researchers
Less collecting.
More building.
Turn videos, captions and product listings into structured material for your next workflow. Start with the job you need to do.
Built by TubeText Labs. Available on Apify.
THE WORKFLOW, NOT THE HYPEOverview
Video & captionsAd referencesProduct listings
Structured dataTubeText tools on Apify
Keep sources. Review results.
Caption inboxFor retrieval workflows
Research briefFor human decisions
Illustrative workflow. Not a live run or sample result.
Source-aware workflowsStructured outputsExisting examplesClear usage boundaries
Start with a task
What are you building?
Three focused paths from raw source material to something you can actually use.
Build a recoverable
02 / CREATIVE RESEARCH
Turn reference videos
into a better brief.
Organize hooks, scripts and shot structure. Keep AI interpretation separate from what the source shows and what your own campaign still needs to test.
Creative research workflow03 / PRODUCT RESEARCH
Compare candidates.
Not assumptions.
Use TikTok Shop details and marketplace listings to build a sourcing shortlist. Check the variant, currency and supplier before treating two offers as comparable.
Product sourcing workflowPractical guides
Solve the next specific problem.
Two focused references, with explicit limits and blank review worksheets.
Missing captions
When a YouTube transcript is unavailable
Separate caption availability, language and retrieval errors before choosing optional AI fallback.
Read the troubleshooting guide →Reviewable shot lists
From video JSON to a reviewable shot list
Keep nested shot detail and understand what the current n8n comparison sheet does not preserve.
Read the shot-list workflow →A useful starting point
Keep the workflow
in your hands.
This is a guide to TubeText’s existing tools, not another place to hand over your data or API keys.
Browse existing GitHub examples- 01
Choose the right source.
Match the input, coverage and detail level to the question you need to answer.
- 02
Review the run on Apify.
Product configuration, execution and billing happen in your Apify account, not on this site.
- 03
Keep evidence with the output.
Preserve exports and source links. Validate results before adding embeddings, reports or automated decisions.