SciSpace PDF upload failing or AI analysis giving incomplete results? Compress your PDF instantly using the tool below — fixes size errors and improves text extraction.
👉 Fix: Compress your file below the required limit using the tool above.
SciSpace upload failures are most often caused by PDFs exceeding 100MB or containing non-searchable scanned images. Compressing reduces file size; ensuring the PDF is text-based resolves extraction failures. For very long documents, splitting by chapter gives the most accurate AI responses.
The most common causes are: PDF exceeds 100MB, scanned document with non-searchable images, or very complex file with many embedded figures. Compress the PDF and ensure it is text-based before retrying.Source: SciSpace ↗
File over 100MB, scanned image-based PDF (requires OCR), or complex non-searchable images inside the document.Source: SciSpace ↗
Compress your PDF below 100MB using the tool above. If the PDF is scanned, run OCR first to make it text-searchable. For long monographs, split by chapter and upload each section separately.Source: SciSpace ↗
Scanned PDFs and image-heavy documents may not extract text correctly. Ensure your PDF is text-based. If it's a scanned document, run OCR before uploading to SciSpace.Source: SciSpace ↗
Yes. Splitting a long monograph or textbook by chapter and uploading each section separately gives SciSpace's AI more focused context, improving analysis accuracy and citation extraction.Source: SciSpace ↗