Consonance - Google Document AI Integration and Automation

Common Integration Use Cases Between Consonance and Google Document AI

1. Automated Manuscript Intake and Metadata Extraction

Data flow: Google Document AI ? Consonance

Publishers can use Google Document AI to extract structured data from incoming author submissions, such as manuscript title, author names, chapter headings, references, abstracts, and submission dates. That extracted information can then be pushed into Consonance to create or update project records automatically.

• Reduces manual data entry for editorial and project teams
• Speeds up manuscript onboarding and triage
• Improves consistency of title metadata from the start of the workflow

2. Contract and Rights Document Processing

Data flow: Google Document AI ? Consonance

Rights and legal teams can process publishing contracts, license agreements, permissions letters, and subsidiary rights documents through Google Document AI to capture key terms such as territory, format, term length, royalty rates, exclusivity, and expiration dates. Consonance can then store and track these rights details against the relevant title or author record.

• Supports faster rights clearance and contract review
• Helps prevent missed renewal or expiration dates
• Improves visibility into rights availability across formats and territories

3. Invoice and Royalty Statement Data Capture

Data flow: Google Document AI ? Consonance

Finance teams can use Google Document AI to extract line items and totals from vendor invoices, freelancer bills, print bills, and royalty statements. The extracted data can be routed into Consonance to support royalty management, cost tracking, and title-level financial reconciliation.

• Accelerates invoice processing and approval workflows
• Improves accuracy in royalty and production cost records
• Creates a more auditable financial workflow for publishing operations

4. Editorial Review of Scanned or PDF Source Materials

Data flow: Google Document AI ? Consonance

When publishers receive scanned manuscripts, marked-up PDFs, or image-based source files, Google Document AI can convert them into searchable, structured text. Consonance can then link the extracted content to the title record and route it to editorial, production, or design teams for review.

• Makes legacy or scanned content usable in modern workflows
• Improves searchability across manuscript and production assets
• Reduces delays caused by non-editable source files

5. Automated Extraction of Production Specifications from Vendor Documents

Data flow: Google Document AI ? Consonance

Production teams often receive printer proofs, manufacturing specs, shipping documents, and vendor forms in PDF format. Google Document AI can extract dimensions, quantities, paper stock, binding type, delivery dates, and vendor details, then update Consonance project records to keep production schedules accurate.

• Reduces errors in production planning
• Improves coordination with printers and suppliers
• Helps teams track milestone changes without manual rekeying

6. Rights and Permissions Audit Trail Creation

Data flow: Google Document AI ? Consonance

For titles that rely on third-party content, Google Document AI can extract permissions terms from scanned letters, email attachments, and signed forms. Consonance can store those permissions against the title record, giving editorial and legal teams a centralized audit trail for reuse, translation, excerpt, and image rights.

• Supports compliance and rights governance
• Reduces risk of publishing content without valid permissions
• Improves traceability for audits and internal reviews

7. Backfile Digitization for Legacy Catalogs

Data flow: Google Document AI ? Consonance

Publishers with older catalogs can digitize legacy contracts, title sheets, production files, and correspondence using Google Document AI. The extracted metadata can be loaded into Consonance to enrich historical title records and make older assets easier to manage across editorial, rights, and production teams.

• Modernizes access to archived publishing records
• Improves catalog completeness for older titles
• Supports rights reissue, anniversary editions, and backlist monetization

8. Exception Handling for Metadata Validation

Data flow: Bi-directional

Consonance can send title metadata, rights details, and workflow context to Google Document AI for validation against incoming documents such as contracts, invoices, or submission forms. If Document AI detects mismatches, missing fields, or unusual values, the exception can be returned to Consonance for review by editorial, legal, or finance teams.

• Improves data quality across publishing workflows
• Flags discrepancies before they affect downstream systems
• Creates a controlled review process for exceptions and corrections