{"code":0,"data":{"id":"ac8c3e8d-f03b-4eb2-ba0c-65e797150e9e","publisher_type":"organization","publisher_unique_handle":"langgenius","creator_email":"shani@dify.ai","template_name":"ID Card Information Extraction","icon":"","icon_background":"","icon_file_key":"templates/ac8c3e8d-f03b-4eb2-ba0c-65e797150e9e/icon.png","kind":"classic","dsl_file_key":"templates/ac8c3e8d-f03b-4eb2-ba0c-65e797150e9e/dsl.yaml","dsl_raw_file_key":"","asset_files":null,"asset_tree_nodes":null,"categories":["support","operations"],"deps_plugins":["langgenius/openai"],"preferred_languages":["en"],"overview":"This workflow extracts structured information from images of a Chinese identity card. It processes the front (人像面) and back (国徽面) of the ID card separately, using vision‑enabled LLMs to extract fields such as Name, Gender, Ethnicity, Birth Date, Address, Issuing Authority, Validity Period and ID Number. The results are validated (e.g., checking dates and ID number format) and combined into a single JSON object. It is designed for onboarding, KYC or identity verification scenarios.","readme":"Prepare clear images of the front and back of the ID card and supply them as inputs to the workflow.\r\n \r\nUse a vision‑capable LLM provider (such as OpenAI) for the Parameter Extractor nodes; ensure your API key has image/OCR access.\r\n \r\nOptionally adjust the prompts in each extractor node to suit your validation requirements (e.g., accepted date formats).\r\n \r\nDeploy the workflow; it will output a JSON object containing the extracted fields.","partner_link":"","version":"0.5.0","status":"published","review_comment":"","usage_count":204,"created_at":"2026-03-05T22:40:22.859735Z","updated_at":"2026-03-05T22:40:22.859735Z"},"msg":"ok"}