Use cases · extract
Extract Pdf
Extracting data from PDFs is a common but tedious task, whether you need to pull text from invoices, parse tables from reports, or extract key fields from forms. AI agents excel at this because they can handle varied layouts, understand context, and output structured data without manual formatting. Below are 4 skills we evaluated for this task.
4 skills for this task
Use this skill whenever the user wants to do anything with PDF files.
scan-organizer
OCR, classify, and organize scanned PDFs into category subfolders using AI vision and language models. Processes medical, financial, insurance, tax, legal, personal, and household documents.
insurance-agent-customer-crm
帮助保险代理人将pdf、Excel、Word、PPT等各类客户资料转化为个人客户信息资料库，方便小龙虾调用和使用，回答下列问题："帮我为下个月生日的客户撰写个性化的生日祝福"、"帮我为每个保单客户撰写一份个性化的理财活动邀约"，等等。
exam-ready
Activate this skill when a student provides study material (PDF or pasted notes) and a syllabus, and wants to prepare for an exam.
Common questions
- Can AI extract text from scanned PDFs?
- Yes, many skills use OCR (Optical Character Recognition) to extract text from scanned images. Look for skills that mention OCR support or image processing capabilities.
- How do I extract tables from a PDF?
- Skills with table extraction can identify and convert tabular data into CSV or JSON. Check the skill description for supported output formats and whether it handles merged cells or multi-line rows.
- What if my PDF has a mix of text and images?
- Most extraction skills handle mixed content by processing text layers first and falling back to OCR for images. Ensure the skill you choose explicitly supports both text and image extraction.