OCR File Attachments
Attach scanned PDFs or images to a proposal and let CueQuote automatically extract the text so the AI can read and use technical riders and equipment lists.
What you'll learn
- ✓Attaching files to a new proposal
- ✓How OCR runs automatically on scanned documents
- ✓Verifying the extracted text before generating
- ✓Which file types and languages are supported
Click Attachments on a new proposal
Start a new proposal and go to the "Attachments" section below the event description field. Click "Upload File" or drag and drop a file onto the upload zone. Supported formats are PDF, JPG, PNG, and TIFF. You can attach up to 5 files per proposal — each file can be up to 10 MB.
Upload a scanned PDF or image
Select your scanned technical rider, equipment list, venue floor plan, or event brief. Files that are already machine-readable PDFs (exported from Word, Excel, or a design tool) are processed instantly. Scanned documents and images are automatically sent to the OCR engine, which detects and extracts all text from the file. A processing spinner appears while OCR runs — this usually takes 5-15 seconds per page.
Verify the extracted text
Once OCR completes, click the attachment chip to expand the extracted text preview. Review the output to check that key details — equipment names, quantities, technical specifications — were captured correctly. If a scan is low resolution or skewed, some words may be misread. You can edit the extracted text directly in the preview field before generating the proposal.
Pro tip: For best OCR accuracy, use scans at 300 DPI or higher. Avoid files where text overlaps graphics or uses very small fonts.
Generate the proposal with extracted content
Click "Generate Proposal". The AI receives both your written description and the full extracted text from all attachments as combined context. It merges both sources intelligently — picking up specific model numbers, quantities, and technical requirements from the rider even if you only wrote a brief summary in the description field.
Pro tip: OCR supports English and Arabic text. Mixed-language documents (e.g., an Arabic rider with English equipment model names) are handled correctly — the AI reads both languages in the same document.