Crawler Summary
ID Card Information Extraction answer-first brief
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. Prepare clear images of the front and back of the ID card and supply them as inputs to the workflow. Use a vision‑capable LLM provider (such as OpenAI) for the Parameter Extractor nodes; ensure your API key has image/OCR access. Optionally adjust the prompts in each extractor node to suit your validation requirements (e.g., accepted date formats). Deploy the workflow; it will output a JSON object containing the extra Capability contract not published. No trust telemetry is available yet. Last updated 4/16/2026.
Freshness
Last checked 4/16/2026
Best For
ID Card Information Extraction is best for workflow, support, operations workflows where documented compatibility matters.
Not Ideal For
Contract metadata is missing or unavailable for deterministic execution.
Evidence Sources Checked
editorial-content, Dify, runtime-metrics, public facts pack
ID Card Information Extraction
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. Prepare clear images of the front and back of the ID card and supply them as inputs to the workflow. Use a vision‑capable LLM provider (such as OpenAI) for the Parameter Extractor nodes; ensure your API key has image/OCR access. Optionally adjust the prompts in each extractor node to suit your validation requirements (e.g., accepted date formats). Deploy the workflow; it will output a JSON object containing the extra
Public facts
2
Change events
0
Artifacts
0
Freshness
Apr 16, 2026
Capability contract not published. No trust telemetry is available yet. Last updated 4/16/2026.
Trust score
Unknown
Compatibility
Profile only
Freshness
Apr 16, 2026
Vendor
Dify
Artifacts
0
Benchmarks
0
Last release
Unpublished
Executive Summary
Key links, install path, and a quick operational read before the deeper crawl record.
Summary
Capability contract not published. No trust telemetry is available yet. Last updated 4/16/2026.
Setup snapshot
- 1
Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
- 2
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.
Evidence Ledger
Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.
Vendor (1)
Vendor
Dify
Security (1)
Handshake status
UNKNOWN
Release & Crawl Timeline
Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.
Artifacts Archive
Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.
Extracted files
0
Examples
0
Snippets
0
Languages
en
Docs & README
Full documentation captured from public sources, including the complete README when available.
Docs source
Dify
Editorial quality
ready
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. Prepare clear images of the front and back of the ID card and supply them as inputs to the workflow. Use a vision‑capable LLM provider (such as OpenAI) for the Parameter Extractor nodes; ensure your API key has image/OCR access. Optionally adjust the prompts in each extractor node to suit your validation requirements (e.g., accepted date formats). Deploy the workflow; it will output a JSON object containing the extra
Full README
Prepare clear images of the front and back of the ID card and supply them as inputs to the workflow.
Use a vision‑capable LLM provider (such as OpenAI) for the Parameter Extractor nodes; ensure your API key has image/OCR access.
Optionally adjust the prompts in each extractor node to suit your validation requirements (e.g., accepted date formats).
Deploy the workflow; it will output a JSON object containing the extracted fields.
Contract & API
Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.
Contract coverage
Status
missing
Auth
None
Streaming
No
Data region
Unspecified
Protocol support
Requires: none
Forbidden: none
Guardrails
Operational confidence: low
Invocation examples
curl -s "https://xpersona.co/api/v1/agents/dify-langgenius-id-card-information-extraction/snapshot"
curl -s "https://xpersona.co/api/v1/agents/dify-langgenius-id-card-information-extraction/contract"
curl -s "https://xpersona.co/api/v1/agents/dify-langgenius-id-card-information-extraction/trust"
Reliability & Benchmarks
Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.
Trust signals
Handshake
UNKNOWN
Confidence
unknown
Attempts 30d
unknown
Fallback rate
unknown
Runtime metrics
Observed P50
unknown
Observed P95
unknown
Rate limit
unknown
Estimated cost
unknown
Do not use if
Media & Demo
Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.
Related Agents
Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.
Machine Appendix
Contract JSON
{
"contractStatus": "missing",
"authModes": [],
"requires": [],
"forbidden": [],
"supportsMcp": false,
"supportsA2a": false,
"supportsStreaming": false,
"inputSchemaRef": null,
"outputSchemaRef": null,
"dataRegion": null,
"contractUpdatedAt": null,
"sourceUpdatedAt": null,
"freshnessSeconds": null
}Invocation Guide
{
"preferredApi": {
"snapshotUrl": "https://xpersona.co/api/v1/agents/dify-langgenius-id-card-information-extraction/snapshot",
"contractUrl": "https://xpersona.co/api/v1/agents/dify-langgenius-id-card-information-extraction/contract",
"trustUrl": "https://xpersona.co/api/v1/agents/dify-langgenius-id-card-information-extraction/trust"
},
"curlExamples": [
"curl -s \"https://xpersona.co/api/v1/agents/dify-langgenius-id-card-information-extraction/snapshot\"",
"curl -s \"https://xpersona.co/api/v1/agents/dify-langgenius-id-card-information-extraction/contract\"",
"curl -s \"https://xpersona.co/api/v1/agents/dify-langgenius-id-card-information-extraction/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": []
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "DIFY_MARKETPLACE",
"generatedAt": "2026-04-17T02:21:29.754Z"
}
},
"retryPolicy": {
"maxAttempts": 3,
"backoffMs": [
500,
1500,
3500
],
"retryableConditions": [
"HTTP_429",
"HTTP_503",
"NETWORK_TIMEOUT"
]
}
}Trust JSON
{
"status": "unavailable",
"handshakeStatus": "UNKNOWN",
"verificationFreshnessHours": null,
"reputationScore": null,
"p95LatencyMs": null,
"successRate30d": null,
"fallbackRate": null,
"attempts30d": null,
"trustUpdatedAt": null,
"trustConfidence": "unknown",
"sourceUpdatedAt": null,
"freshnessSeconds": null
}Capability Matrix
{
"rows": [
{
"key": "workflow",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
},
{
"key": "support",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
},
{
"key": "operations",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
},
{
"key": "openai",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
}
],
"flattenedTokens": "capability:workflow|supported|profile capability:support|supported|profile capability:operations|supported|profile capability:openai|supported|profile"
}Facts JSON
[
{
"factKey": "vendor",
"category": "vendor",
"label": "Vendor",
"value": "Dify",
"href": "https://marketplace.dify.ai/api/v1/templates/ac8c3e8d-f03b-4eb2-ba0c-65e797150e9e",
"sourceUrl": "https://marketplace.dify.ai/api/v1/templates/ac8c3e8d-f03b-4eb2-ba0c-65e797150e9e",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-04-16T06:45:12.187Z",
"isPublic": true
},
{
"factKey": "handshake_status",
"category": "security",
"label": "Handshake status",
"value": "UNKNOWN",
"href": "https://xpersona.co/api/v1/agents/dify-langgenius-id-card-information-extraction/trust",
"sourceUrl": "https://xpersona.co/api/v1/agents/dify-langgenius-id-card-information-extraction/trust",
"sourceType": "trust",
"confidence": "medium",
"observedAt": null,
"isPublic": true
}
]Change Events JSON
[]