No-code training solution, including out-of-the-box auto-annotation suggestions.
Innodata’s web-based Annotation Platform enables teams to expertly label data at scale. Upload complex documents or unstructured data to generate more informed insights and deliver better customer experiences.
Four advanced tools to facilitate annotation tasks in any format.
Easily configure multi-pass annotation, categories per record or document, and arbitration. Allocate work, designate annotation tasks, and track progress.
Seamlessly plug into your existing infrastructure within a highly-secure environment.
Build and maintain taxonomies, no coding needed. Set categorization rules and update labels at any point in the project lifecycle.
Annotate large quantities of data in CSV or excel formats and systematically classify records into a specific, hierarchical taxonomy. In addition, automatically train Innodata ML models to annotate your data for you with no coding — included for free.
Turn documents into machine-readable data. Assign classes or categories within documents to manage or sort complex information.
Annotate named entities such as people, organizations, facilities, locations, and events. Establish relationships between two or more distinct entities with relationship tagging and use co-reference annotation to group two or more that refer to the same named entity.
Label individual parts of an image with bounding box or single-point labeling.
Supports loading or use of custom taxonomies and delivery of annotated data in formats such as JSON, HTML, or XML.
Ready to support any labeling requirement, including support for any input format with highly customizable workbenches.
Manage simultaneous processing of thousands of documents by multiple users across different locations.
Embedded with multiple security features within the platform, including user authentication and other access controls.
A workflow management system that enables workload tracking and work allocation, reporting, configuration of annotation tasks, loading input files, as well as creation and delivery of datasets.
A robust user interface supports various annotation processes, such as single pass, double pass, and double pass blind or inter-annotator agreement process.
