Convert unstructured data to structured data sets using AI.
Upload unstructured data, describe what you want, and let AI transform it into clean, structured records you can route to S3, GCS, SFTP, or any HTTP endpoint.
What's included
AI schema inference via Claude
Ingest via file upload, paste, or webhook
Output to S3, GCS, SFTP, or HTTP
About this module
Legacy data sources rarely come in the shape you need. Data Stream uses Claude AI to infer the schema from your raw input — whether that's a CSV with inconsistent columns, a pasted table, a webhook payload, or an uploaded document — and transforms it into the structured format you define.
Once the transformation is set, it runs automatically on every new batch. Output destinations include AWS S3, Google Cloud Storage, SFTP servers, and HTTP endpoints — so the clean data lands wherever your pipeline expects it without a custom ETL build.
What you can do with it
Transform USASpending.gov CSV exports into a clean accounts dataset for your CRM
Ingest a vendor product feed in an arbitrary format and normalize it to your catalog schema
Stream webhook event data from a third-party tool into a clean, queryable format
Convert legacy system exports to structured data for migration into a new platform
Get this module
Free for all Turtini organizations.
Who it's for
- Data and operations teams dealing with messy, inconsistent input data sources
- Developers who need a quick, AI-assisted ETL layer without building a custom pipeline
- Analytics teams who spend too much time cleaning data before they can use it
Details
- Category
- Operations
- Pricing
- Free
- Built by
- Badge
- New