Automated ingestion
Convert files as part of uploads, support workflows or knowledge-base pipelines.
TokenPig’s API is planned for developers who need consistent file conversion without a manual upload step.
No sign-up for the first conversions · Files processed temporarily · Current plan limits apply
Manual conversion is enough for occasional files. Product workflows need an API with explicit limits, predictable outputs, secure file handling and errors that can be monitored.
The TokenPig API is not presented here as generally available. This page documents the intended use cases and gives interested developers a clear path to test the current web converter while the API is developed.
Convert files as part of uploads, support workflows or knowledge-base pipelines.
Normalize several document formats before downstream processing.
Design for status, errors, token estimates and reproducible outputs.
Use converted content in RAG systems, agents, documentation and analysis tools.
Test representative files in TokenPig before planning an automated integration.
Estimate file types, average size, monthly conversions and acceptable processing time.
Decide how files are uploaded, deleted, logged and isolated in your application.
Use only the final published API contract, authentication method and plan limits.
Download the sample, run it through TokenPig and inspect the Markdown yourself before trusting it with important documents.
The public pricing currently labels API functionality as coming soon. Use the web converter for current testing and publish this page as an early-interest page, not completed API documentation.
The intended scope follows TokenPig’s supported document formats, but final API support should be stated only when the endpoint is released.
Batch workflows are a natural use case, but the final behavior, limits and pricing must come from the released product.
No. It is an illustrative artifact for product planning, not a stable API contract.
Test representative documents, edge cases, output consistency, deletion behavior, error handling and downstream usefulness.
Start with a real file, inspect the output, and keep the original source for verification.
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