We support DOI, PubMed ID, PubMed Central ID (PMC), ArXiv ID, Semantic Scholar ID, ERIC ID, and our own PDFVector publication IDs. The API automatically detects the ID type and routes to the appropriate database.

You can fetch up to 100 publications in a single API call. This batch processing capability significantly improves performance when building literature reviews or citation networks.

Publications that aren't found are returned in the 'notFound' array with their original ID. The API continues processing other IDs in the batch, so one missing publication won't affect the others.

Yes! Use the 'fields' parameter to specify exactly which metadata fields you need. This reduces response size and improves performance. Common fields include title, authors, abstract, year, and citationCount.

No, the Academic Fetch API provides metadata only. For full-text extraction from PDFs, use our PDF Parse API. We do include PDF URLs when available from the source database.

There are no hard rate limits on the Academic Fetch API. However, we recommend batch processing (up to 100 IDs per request) for optimal performance rather than making many individual requests.

Our parsing algorithms are designed to preserve document structure, formatting, content, and visual elements accurately. We handle complex layouts, tables, images, and multi-column documents that often trip up other parsers.

As an independent team focused on customer satisfaction, we provide responsive support. We care about making sure every customer succeeds with PDF Vector and address issues quickly.

Yes, you can cancel your subscription any time. If you cancel your subscription, you will still have access to the app until the end of the billing period.