Canto - Google Document AI Integration and Automation

Common Integration Use Cases Between Canto and Google Document AI

1. Auto-classify and tag scanned marketing and legal documents in Canto

Data flow: Google Document AI ? Canto

Use Google Document AI to extract text, document type, and key fields from scanned contracts, release forms, invoices, or event paperwork, then push the extracted metadata into Canto. This allows teams to automatically tag assets by document type, campaign, vendor, region, or approval status, making files easier to search and govern.

• Reduces manual metadata entry for large document libraries
• Improves discoverability for marketing, legal, and operations teams
• Supports consistent taxonomy across uploaded documents

2. Convert incoming paper-based approvals into searchable digital assets

Data flow: Google Document AI ? Canto

When teams receive signed approvals, release forms, or compliance documents in paper or PDF format, Google Document AI can extract the content and send the processed file and metadata to Canto. Canto then becomes the central repository for approved records, with searchable fields such as signer name, date, project, and expiration.

• Creates a controlled archive of approved documents
• Speeds up retrieval during audits or campaign reviews
• Helps teams avoid storing critical records in email or shared drives

3. Enrich creative asset libraries with extracted text from supporting documents

Data flow: Google Document AI ? Canto

Marketing teams often store campaign assets alongside supporting documents such as briefs, media plans, and vendor agreements. Google Document AI can extract text from these documents and pass it to Canto so that related assets are searchable by campaign name, product line, audience segment, or launch date.

• Improves asset reuse across campaigns and regions
• Helps teams find the right supporting documentation faster
• Reduces time spent opening files to confirm context

4. Route extracted document data from Canto to downstream business systems

Data flow: Canto ? Google Document AI ? downstream systems

When documents are uploaded to Canto, Google Document AI can process them and extract structured data for use in other systems such as CRM, ERP, or contract management tools. For example, a vendor agreement stored in Canto can be analyzed to capture supplier name, renewal date, and payment terms for operational follow-up.

• Turns stored documents into usable business data
• Supports contract tracking and operational reporting
• Reduces duplicate data entry across systems

5. Centralize compliance review for regulated content

Data flow: Bi-directional

For regulated industries, Canto can store approved content while Google Document AI extracts compliance-relevant details from source documents such as disclaimers, consent forms, or policy acknowledgements. The extracted data can be written back to Canto as metadata, enabling compliance teams to filter assets by approval status, jurisdiction, or retention period.

• Improves governance over regulated content
• Supports faster compliance checks before publication
• Makes audit preparation more efficient

6. Accelerate content onboarding from external vendors and agencies

Data flow: Google Document AI ? Canto

Agencies and vendors often deliver mixed packages containing PDFs, scanned forms, and supporting documentation. Google Document AI can process these files on intake, extract relevant details, and automatically organize them in Canto with the correct project, vendor, and deliverable metadata. This helps internal teams review and approve content faster.

• Standardizes intake from external partners
• Reduces manual sorting of mixed document packages
• Improves turnaround time for campaign production

7. Build a searchable archive of operational documents linked to media assets

Data flow: Google Document AI ? Canto

Organizations can store operational documents such as permits, certificates, product labels, and usage instructions in Canto alongside related images and videos. Google Document AI extracts the text and key fields from these documents so teams can search by product, location, expiration date, or regulatory reference.

• Creates a single source for asset and document context
• Supports field teams, operations, and customer support
• Improves access to critical reference materials

8. Improve project handoffs by linking extracted document intelligence to asset workflows

Data flow: Google Document AI ? Canto

When project teams upload briefs, statements of work, or approval documents, Google Document AI can extract key information and attach it to the corresponding assets in Canto. This gives creative, legal, and marketing stakeholders immediate visibility into project scope, deadlines, and approval conditions without manually reviewing every file.

• Reduces delays during creative review and handoff
• Improves collaboration across marketing, legal, and operations
• Ensures assets stay connected to the documents that govern them