What is WeTransform?
WeTransform is an embeddable file importer platform designed to automate the ingestion and normalization of B2B data files. The solution provides a white-label interface for end users to upload unstructured or multi-format files, which are then validated and mapped to a target schema for delivery via REST API or webhooks.
Key Capabilities
- AI Mapping: Automatically matches columns from source files to the predefined target schema.
- Autoclean: Employs artificial intelligence to normalize unstructured file types, including PDF, merged Excel cells, and images, prior to the transformation pipeline.
- Power Functions: Facilitates external API calls during the transformation process for data enrichment or verification (e.g., SIRET lookups, address verification, and ID validation).
- Fill the Gaps: Uses contextual analysis of row-level data to automatically populate missing fields.
- Natural Language Rules: Allows administrators to define transformation logic using plain language descriptions.
- Multi-Channel Ingestion: Supports data intake through multiple protocols, including FTP/SFTP, HTTPS, and SMTP.
- White-Label Integration: Provides an iframe-based embed option with support for custom domains and native bindings for React, Vue, and vanilla JavaScript.
Audience & Use Cases
- Audience: Software engineering teams, product managers, and customer success coordinators in B2B SaaS.
- Use Case: Streamlining customer onboarding by automating the parsing and validation of disparate partner or client data formats.
Technical Specifications
- Integration Method: Official @wetransform/core npm package.
- Delivery Protocols: REST API, Webhooks.
- Supported Formats: CSV, XLSX, PDF, XML, JSON.
Categories & Use Cases
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Screenshot of Embed an AI file importer on a B2B SaaS website in a few lines of code.
