Aliyun Qwen Ocrv1.0.0

Automate extraction of key fields like seller name, invoice date, and amount from invoice images using custom prompts or key_information_extraction task. Useful for accounting and financial document digitization.

Extract tabular data from scanned tables in PDFs or images using the table_parsing built-in task. Enables conversion of physical tables into structured data for spreadsheets or databases.

Recognize and extract text from documents in multiple languages using the multi_lan task. Ideal for international businesses handling foreign language materials.

Extract mathematical formulas from printed or scanned academic papers using the formula_recognition task. Supports research document digitization and indexing.

Use flexible custom prompts to extract specific information from unstructured documents like contracts or reports. Suitable for ad-hoc document analysis needs.

Charge customers based on the number of OCR API calls or tokens consumed, with tiered pricing for high-volume users. This model aligns costs with usage.

Offer a cloud platform that integrates Qwen OCR for automated document workflows, charging monthly subscription fees. Platform handles batch processing and data output.

Provide tailored OCR solutions for enterprise clients, including model selection, prompt engineering, and downstream validation. Revenue from project-based consulting and maintenance contracts.