Redbird AI syncs files from Google Drive into MongoDB and automates data extraction from documents into your database. Stop manually parsing spreadsheets, PDFs, and CSVs—let AI handle document-to-database workflows across your stack.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
When teams upload data files to a shared Drive folder, Redbird detects the file, extracts structured data, and writes it directly to MongoDB collections. Schema mapping happens automatically, handling column variations and data types without manual ETL scripts.
Automatically process uploaded PDFs containing application forms, intake documents, or scanned records. Redbird uses AI to extract key fields and creates properly structured documents in MongoDB, making paper-based data immediately queryable.
Run scheduled MongoDB aggregations and export results as formatted spreadsheets to Drive. Teams get fresh data snapshots in familiar formats without writing export scripts or running manual queries. Permissions sync automatically to shared folders.
Archive critical collections to Google Drive with automated daily exports. Redbird handles compression, folder organization by date, and retention policies. Teams get human-readable backups accessible outside the database layer.
When finance uploads invoices to Drive, Redbird extracts vendor details, line items, amounts, and dates, then creates normalized documents in your payments collection. Handles various invoice formats and maps to your existing schema automatically.
Run continuous queries against operational collections and generate detailed reports when thresholds are exceeded. Alert documents land in Drive with context, charts, and affected records—giving teams full visibility without dashboard access.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Google Drive and MongoDB with OAuth or API credentials. Redbird never stores your data — it just passes through.
Tell Redbird what to do in plain language — no SQL, no code, no configuration files required.
Redbird shows you exactly what it will do before running anything. Approve the workflow, set a schedule, and switch it on.
Workflows run on your schedule or on triggers. Every run is logged. Adjust with natural language at any time.
Redbird understands both file structures in Google Drive and document schemas in MongoDB, automatically mapping between unstructured files and your database collections.
Redbird parses spreadsheets, PDFs, and CSVs from Drive and maps them to MongoDB's flexible document model without hardcoded schemas. It infers data types, handles nested structures, and adapts to schema changes automatically. When generating files from MongoDB, it formats query results into readable spreadsheets and organizes exports by folder structure, maintaining the connection between your database and shared storage.
faster than building custom file parsers and MongoDB ETL scripts
Redbird can pull from Google Drive and MongoDB simultaneously, merge the results, and format a polished report — sent on a schedule or on demand.
Set conditions in natural language. Get notified in Slack or email the moment a threshold is crossed in either Google Drive or MongoDB.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from Google Drive into MongoDB, or from MongoDB back into Google Drive. Resolve conflicts with configurable merge rules.
Every workflow run is logged — what ran, what changed, and why. Replay or revert any individual step at any time.
Start automations from file uploads in Drive or data changes in MongoDB—Redbird connects both systems in either direction.
Trigger when any file or specific file types are uploaded to a watched Drive folder.
Detect when existing files are edited, triggering re-sync or re-processing workflows.
Monitor specific Google Sheets for new rows and sync data to MongoDB collections.
Generate new documents or spreadsheets from templates populated with MongoDB data.
Write generated reports, exports, or backups to specific Drive folders with permissions.
Write query results or updated records back to existing Google Sheets tabs.
Trigger when new documents are created in watched MongoDB collections.
Detect when specific fields in documents are updated, triggering downstream workflows.
Run scheduled queries and trigger when results meet conditions or exceed limits.
Create new documents in collections from extracted file data with schema validation.
Bulk update existing documents matching criteria with data from Drive files.
Execute aggregation pipelines and write results to Drive as formatted reports.
Stop building file parsers and export scripts. Connect Google Drive and MongoDB with Redbird AI and automate document-to-database workflows in minutes.