Transcripts, images and content pipelines
Raw material for an index, a dataset or a model: video transcripts, place photography, and the provenance of an image once it is loose on the web. Bulk-oriented, with the formats and identifiers a pipeline needs to deduplicate and join.
18 documented jobs across 6 sources.
YouTube Transcripts API
Transcripts and captions for any YouTube URL, with translation, SRT/VTT and video metadata.
- Accessibility and compliance workflows
- Bulk subtitle generation for a channel
- Feeding video content into a RAG pipeline
- Searchable archives of conference talks
- Training-data collection for language models
YouTube Transcripts API — parameters, schema and worked examples →
YouTube Download API
YouTube video and audio delivered as files, with a link, size and checksum per video, to the run's storage or your own bucket.
- Archiving your own channel with checksums
- Audio for transcription, summarization and RAG pipelines
- Lectures, talks and webinars for offline study
- Research and media monitoring with a metadata row per video
- Video datasets for machine learning
YouTube Download API — parameters, schema and worked examples →
LinkedIn Learning API
Course records with rating, review text, syllabus and the skills each course claims to teach.
- Building a skills taxonomy from published course metadata
- Mapping what a platform teaches about a subject
LinkedIn Learning API — parameters, schema and worked examples →
Image Similarity API
Semantic similarity and perceptual-hash distance on every pair, with your own thresholds.
- Deduplicating an image dataset before training
- Detecting reuploaded or lightly edited copies of an asset
- Finding duplicate images in a catalogue
Image Similarity API — parameters, schema and worked examples →
Google Lens API
Reverse image search: similar images, shoppable matches, or every page using your image.
- Finding unlicensed reuse of your photography
- Image attribution and licensing audits
YouTube Shorts API
Channel Shorts or direct Short links as structured rows with views, likes, comments, dates, hashtags and full channel stats.
- Shorts metadata at scale for moderation and research datasets
YouTube Shorts API — parameters, schema and worked examples →