Researchers and content teams
Transcription
“Transcribe this hour-long webinar and pull out every customer question: <url>”
A timestamped transcript and the questions asked.
Hand heavy media work to a connector: speech-to-text, video transcription, OCR, image captioning, background removal, photo geolocation, text classification and multi-model LLM comparisons.
Use cases
Ask in plain English. Your AI picks the connectors, runs them and hands back the answer.
Researchers and content teams
“Transcribe this hour-long webinar and pull out every customer question: <url>”
A timestamped transcript and the questions asked.
E-commerce teams
“Remove the backgrounds from these 200 product photos and write alt text for each.”
Clean cut-outs and accessible alt text.
Operations teams
“Extract the text from these scanned receipts and classify them by expense type.”
Structured, categorised text from images.
AI engineers
“Run this prompt through GPT, Claude, Gemini and Llama and compare the answers.”
Side-by-side outputs to pick the right model.
Pick your tool. Claude and ChatGPT take a single URL; Cursor and VS Code install in one click.
Connect Claude
Web, desktop and mobile. Paste one URL.
No. Sourcelane runs the connectors for you. You top up a balance with a card, create an agent key, and your agent calls the connector — there is no AI Media Processing app review, OAuth setup or rate-limit juggling on your side.
Anything that speaks MCP (Claude Desktop, Claude Code, Cursor, VS Code, Windsurf) can connect to the Sourcelane MCP server with one config block. ChatGPT can use it through a Custom GPT Action, and any agent framework can call the REST endpoint directly.
Yes. Every agent key has its own per-call cap, daily and monthly limits, an optional lifetime budget, an allowlist of connectors, and a kill switch.