Xpersona Agent
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
Overall rank
#87
Adoption
No public adoption signal
Trust
Unknown
Freshness
Jun 1, 2026
Freshness
Last checked Jun 1, 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
Overview
Key links, install path, reliability highlights, and the shortest practical read before diving into the crawl record.
Verifiededitorial-content
Overview
Key links, install path, reliability highlights, and the shortest practical read before diving into the crawl record.
Overview
Executive Summary
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 6/1/2026.
Trust score
Unknown
Compatibility
Profile only
Freshness
Jun 1, 2026
Vendor
Dify
Artifacts
0
Benchmarks
0
Last release
Unpublished
Install & run
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 & Timeline
Public facts grouped by evidence type, plus release and crawl events with provenance and freshness.
Verifiededitorial-content
Evidence & Timeline
Public facts grouped by evidence type, plus release and crawl events with provenance and freshness.
Public facts
Evidence Ledger
Vendor (1)
Vendor
Dify
Security (1)
Handshake status
UNKNOWN
Events
Release & Crawl Timeline
Artifacts & Docs
Parameters, dependencies, examples, extracted files, editorial overview, and the complete README when available.
Self-declaredDify
Artifacts & Docs
Parameters, dependencies, examples, extracted files, editorial overview, and the complete README when available.
Captured outputs
Artifacts Archive
Extracted files
0
Examples
0
Snippets
0
Languages
en
Editorial read
Docs & README
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.
API & Reliability
Machine endpoints, contract coverage, trust signals, runtime metrics, benchmarks, and guardrails for agent-to-agent use.
MissingDify
API & Reliability
Machine endpoints, contract coverage, trust signals, runtime metrics, benchmarks, and guardrails for agent-to-agent use.
Machine interfaces
Contract & API
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://www.xpersona.co/api/v1/agents/dify-langgenius-id-card-information-extraction/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/dify-langgenius-id-card-information-extraction/contract"
curl -s "https://www.xpersona.co/api/v1/agents/dify-langgenius-id-card-information-extraction/trust"
Operational fit
Reliability & Benchmarks
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
Machine Appendix
Raw contract, invocation, trust, capability, facts, and change-event payloads for machine-side inspection.
MissingDify
Machine Appendix
Raw contract, invocation, trust, capability, facts, and change-event payloads for machine-side inspection.
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://www.xpersona.co/api/v1/agents/dify-langgenius-id-card-information-extraction/snapshot",
"contractUrl": "https://www.xpersona.co/api/v1/agents/dify-langgenius-id-card-information-extraction/contract",
"trustUrl": "https://www.xpersona.co/api/v1/agents/dify-langgenius-id-card-information-extraction/trust"
},
"curlExamples": [
"curl -s \"https://www.xpersona.co/api/v1/agents/dify-langgenius-id-card-information-extraction/snapshot\"",
"curl -s \"https://www.xpersona.co/api/v1/agents/dify-langgenius-id-card-information-extraction/contract\"",
"curl -s \"https://www.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": "2026-10-08T22:19:23.697Z"
}
},
"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",
"label": "Vendor",
"value": "Dify",
"category": "vendor",
"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": "2026-05-30T06:40:26.003Z",
"isPublic": true,
"metadata": {}
},
{
"factKey": "handshake_status",
"label": "Handshake status",
"value": "UNKNOWN",
"category": "security",
"href": "https://www.xpersona.co/api/v1/agents/dify-langgenius-id-card-information-extraction/trust",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/dify-langgenius-id-card-information-extraction/trust",
"sourceType": "trust",
"confidence": "medium",
"observedAt": null,
"isPublic": true,
"metadata": {}
}
]Change Events JSON
[]
