feat(paperless): add flexible multi-field custom fields mapping
Co-authored-by: christianlouis <361235+christianlouis@users.noreply.github.com>
This commit is contained in:
@@ -122,6 +122,14 @@ PAPERLESS_NGX_API_TOKEN=<PAPERLESS_API_TOKEN>
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# Example: PAPERLESS_CUSTOM_FIELD_ABSENDER=Absender
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# PAPERLESS_CUSTOM_FIELD_ABSENDER=
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# Optional: JSON mapping of metadata fields to Paperless custom field names
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# This allows you to map multiple extracted metadata fields to custom fields in Paperless
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# The mapping format is: {"metadata_field_name": "PaperlessCustomFieldName", ...}
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# Available metadata fields: absender, empfaenger, correspondent, document_type, language,
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# kommunikationsart, kommunikationskategorie, reference_number, etc.
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# Example: PAPERLESS_CUSTOM_FIELDS_MAPPING={"absender": "Sender", "empfaenger": "Recipient", "language": "Language", "correspondent": "Correspondent"}
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# PAPERLESS_CUSTOM_FIELDS_MAPPING=
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# Dropbox
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DROPBOX_APP_KEY=<DROPBOX_APP_KEY>
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DROPBOX_APP_SECRET=<DROPBOX_APP_SECRET>
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@@ -32,6 +32,9 @@ class Settings(BaseSettings):
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paperless_ngx_api_token: Optional[str] = None
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paperless_host: Optional[str] = None
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paperless_custom_field_absender: Optional[str] = None # Name or ID of the "absender" custom field in Paperless
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# JSON mapping of metadata field names to Paperless custom field names
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# Example: {"absender": "Sender", "empfaenger": "Recipient", "language": "Language", "correspondent": "Correspondent"}
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paperless_custom_fields_mapping: Optional[str] = None
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azure_ai_key: str
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azure_region: str
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@@ -16,6 +16,7 @@ logger = logging.getLogger(__name__)
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POLL_MAX_ATTEMPTS = 10
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POLL_INTERVAL_SEC = 3
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UNKNOWN_VALUE = "Unknown" # Magic value used to indicate missing metadata
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def _get_headers():
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@@ -126,7 +127,7 @@ def set_document_custom_fields(doc_id: int, custom_fields: dict, task_id: str) -
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# Build custom_fields array for PATCH request
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custom_fields_array = []
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for field_name, value in custom_fields.items():
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if value and value != "Unknown": # Only set non-empty, non-Unknown values
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if value and value != UNKNOWN_VALUE: # Only set non-empty, non-Unknown values
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try:
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field_id = get_custom_field_id(field_name)
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custom_fields_array.append({"field": field_id, "value": value})
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@@ -244,22 +245,56 @@ def upload_to_paperless(self, file_path: str, file_id: int = None):
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)
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# Set custom fields if configured and metadata available
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if settings.paperless_custom_field_absender and metadata.get("absender"):
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logger.info(f"[{task_id}] Setting custom fields for document {doc_id}")
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log_task_progress(task_id, "set_custom_fields", "in_progress", "Setting custom fields", file_id=file_id)
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custom_fields_to_set = {}
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# Prepare custom fields to set
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custom_fields_to_set = {}
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if settings.paperless_custom_field_absender:
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# First, check for the new flexible mapping configuration
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if settings.paperless_custom_fields_mapping:
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try:
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# Parse JSON mapping: {"metadata_field": "PaperlessFieldName", ...}
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import json
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field_mapping = json.loads(settings.paperless_custom_fields_mapping)
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logger.info(f"[{task_id}] Using custom fields mapping: {field_mapping}")
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# Map each metadata field to its corresponding Paperless custom field
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for metadata_field, paperless_field in field_mapping.items():
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if metadata_field in metadata and metadata[metadata_field]:
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custom_fields_to_set[paperless_field] = metadata[metadata_field]
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logger.debug(
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f"[{task_id}] Mapping {metadata_field}='{metadata[metadata_field]}' to field '{paperless_field}'"
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)
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except json.JSONDecodeError as e:
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logger.error(f"[{task_id}] Failed to parse PAPERLESS_CUSTOM_FIELDS_MAPPING: {e}")
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except Exception as e:
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logger.error(f"[{task_id}] Error processing custom fields mapping: {e}")
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# Fallback to legacy single-field configuration for backward compatibility
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if settings.paperless_custom_field_absender and metadata.get("absender"):
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# Only add if not already set by the mapping
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if settings.paperless_custom_field_absender not in custom_fields_to_set:
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custom_fields_to_set[settings.paperless_custom_field_absender] = metadata.get("absender")
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logger.debug(f"[{task_id}] Using legacy absender field configuration")
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# Set custom fields if we have any to set
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if custom_fields_to_set:
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logger.info(f"[{task_id}] Setting {len(custom_fields_to_set)} custom field(s) for document {doc_id}")
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log_task_progress(task_id, "set_custom_fields", "in_progress", "Setting custom fields", file_id=file_id)
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try:
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set_document_custom_fields(doc_id, custom_fields_to_set, task_id)
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log_task_progress(task_id, "set_custom_fields", "success", "Custom fields set", file_id=file_id)
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log_task_progress(
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task_id,
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"set_custom_fields",
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"success",
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f"Set {len(custom_fields_to_set)} custom field(s)",
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file_id=file_id,
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)
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except Exception as e:
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logger.error(f"[{task_id}] Failed to set custom fields: {e}")
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log_task_progress(task_id, "set_custom_fields", "failure", f"Failed: {str(e)}", file_id=file_id)
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# Don't fail the entire upload if custom fields fail
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else:
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logger.debug(f"[{task_id}] No custom fields configured or no metadata available")
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return {
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"status": "Completed",
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@@ -212,11 +212,45 @@ SECURITY_HEADER_CSP_VALUE="default-src 'self'; script-src 'self' https://trusted
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### Paperless NGX
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| **Variable** | **Description** |
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|-----------------------------------|-----------------------------------------------------------------------------------------------------|
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| `PAPERLESS_NGX_API_TOKEN` | API token for Paperless NGX. |
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| `PAPERLESS_HOST` | Root URL for Paperless NGX (e.g. `https://paperless.example.com`). |
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| `PAPERLESS_CUSTOM_FIELD_ABSENDER` | (Optional) Name of the custom field in Paperless-ngx to store the sender ("absender") information. If set, the extracted sender will be automatically set as a custom field after document upload. Example: `Absender` or `Sender` |
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| **Variable** | **Description** |
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|-------------------------------------|-----------------------------------------------------------------------------------------------------|
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| `PAPERLESS_NGX_API_TOKEN` | API token for Paperless NGX. |
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| `PAPERLESS_HOST` | Root URL for Paperless NGX (e.g. `https://paperless.example.com`). |
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| `PAPERLESS_CUSTOM_FIELD_ABSENDER` | (Optional, Legacy) Name of the custom field in Paperless-ngx to store the sender ("absender") information. If set, the extracted sender will be automatically set as a custom field after document upload. Example: `Absender` or `Sender` |
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| `PAPERLESS_CUSTOM_FIELDS_MAPPING` | (Optional, Recommended) JSON mapping of extracted metadata fields to Paperless custom field names. This allows you to map multiple fields at once. Format: `{"metadata_field": "CustomFieldName", ...}`. See examples below. |
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#### Custom Fields Mapping Examples
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**Single Field (Legacy Method)**:
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```bash
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PAPERLESS_CUSTOM_FIELD_ABSENDER=Absender
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```
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**Multiple Fields (Recommended Method)**:
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```bash
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# Map multiple metadata fields to custom fields in Paperless
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PAPERLESS_CUSTOM_FIELDS_MAPPING='{"absender": "Sender", "empfaenger": "Recipient", "language": "Language"}'
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```
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**All Available Metadata Fields**:
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DocuElevate extracts the following fields that can be mapped to Paperless custom fields:
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- `absender` - Sender/author of the document
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- `empfaenger` - Recipient of the document
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- `correspondent` - The issuing entity/company (shortened name)
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- `document_type` - Type classification (Invoice, Contract, etc.)
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- `language` - Document language (ISO 639-1 code, e.g., "de", "en")
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- `kommunikationsart` - Communication type (German classification)
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- `kommunikationskategorie` - Communication category (German classification)
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- `reference_number` - Invoice/order/reference number if found
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- `title` - Human-readable document title
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- `tags` - List of thematic keywords (array)
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**Complete Example**:
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```bash
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PAPERLESS_CUSTOM_FIELDS_MAPPING='{"absender": "Sender", "empfaenger": "Recipient", "correspondent": "Correspondent", "language": "Language", "reference_number": "ReferenceNumber"}'
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```
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**Note**: Custom fields must be created in your Paperless-ngx instance before DocuElevate can use them. The field names in the mapping (right side of the JSON) must exactly match the names in Paperless.
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### Dropbox
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+37
-6
@@ -150,13 +150,44 @@ Depending on the system configuration, DocuElevate can perform:
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If Paperless-ngx is configured, DocuElevate can automatically upload processed documents and set custom fields with extracted metadata:
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1. **Automatic Upload**: After processing, documents are automatically uploaded to Paperless-ngx
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2. **Custom Fields**: If configured via `PAPERLESS_CUSTOM_FIELD_ABSENDER`, the sender ("absender") information extracted by AI will be automatically set as a custom field in Paperless
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3. **Setup Requirements**:
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- Create a custom field in Paperless-ngx (e.g., named "Absender" or "Sender")
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- Set the `PAPERLESS_CUSTOM_FIELD_ABSENDER` environment variable to match your custom field name
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- Ensure the custom field exists in Paperless before processing documents
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2. **Custom Fields Support**: DocuElevate can automatically populate custom fields in Paperless with extracted metadata
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3. **Flexible Field Mapping**: Map any extracted metadata field to any custom field in Paperless
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**Note**: The custom field feature requires that the field is already created in your Paperless-ngx instance. DocuElevate will look up the field by name and set its value automatically.
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#### Setting Up Custom Fields
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**Basic Setup (Single Field)**:
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```bash
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# In your .env file
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PAPERLESS_CUSTOM_FIELD_ABSENDER=Absender
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```
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**Advanced Setup (Multiple Fields)**:
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```bash
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# Map multiple metadata fields to Paperless custom fields
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PAPERLESS_CUSTOM_FIELDS_MAPPING='{"absender": "Sender", "empfaenger": "Recipient", "language": "Language", "correspondent": "Correspondent"}'
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```
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**Available Metadata Fields**:
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- `absender` - Sender/author
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- `empfaenger` - Recipient
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- `correspondent` - Issuing company (short name)
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- `language` - Document language (e.g., "de", "en")
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- `document_type` - Classification (Invoice, Contract, etc.)
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- `reference_number` - Invoice/order/reference number
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- `kommunikationsart` - Communication type
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- `kommunikationskategorie` - Communication category
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- And more...
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**Requirements**:
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- Create the custom fields in Paperless-ngx first (Settings → Custom Fields)
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- The field names in your configuration must exactly match the names in Paperless
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- Ensure `PAPERLESS_HOST` and `PAPERLESS_NGX_API_TOKEN` are configured
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**How It Works**:
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1. DocuElevate extracts metadata from your documents using AI
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2. The document is uploaded to Paperless-ngx
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3. After successful upload, custom fields are automatically populated
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4. You can view the populated fields in your Paperless-ngx document details
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## API Access
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