tools
Tonic Textual
Tonic Textual detects sensitive data in text and files, then redacts or replaces it for safer AI, analytics, and document workflows.
Tonic Textual scans unstructured data such as text, audio, documents, images, and spreadsheets to identify sensitive entities. It can redact values, replace them with synthetic values, preserve document formats, and support custom entity types.
Teams use it for AI training, RAG pipelines, LLM prompts, compliance workflows, and lower-environment testing. It is available as a cloud service or self-hosted deployment, with Python SDK and REST API access. Cloud usage is billed by words processed; enterprise deployment and support use custom pricing.
Features
- Detects sensitive entities with built-in and custom entity types
- Redacts or replaces sensitive values with synthetic data
- Processes text, audio, PDFs, Word files, images, spreadsheets, and more
- Supports 50+ languages
- Provides Python SDK and REST API access
- Offers Guided Redaction for human review workflows
- Deploys through Tonic Cloud or self-hosted Kubernetes and Docker
- Supports RBAC, SSO, and dataset sharing
Use cases
- Prepare privacy-safe data for AI model training and evaluation
- Redact sensitive information before sending prompts to LLMs
- Enrich RAG data with detected-entity metadata
- Create realistic lower-environment data from sensitive documents
- Review and refine redactions for regulated or public-record requests
Pros
Cons
Pricing
- Starting price
- Flat rate per 1,000 words processed
- Pricing checked
- 2026-09-19
Pay-as-you-go
Flat rate per 1,000 words processed
- Unlimited words scanned
- Unlimited users and custom detection models
- Dashboard for tracking and planning usage
Enterprise
Custom Pricing
- All of the Pay-as-you-go features
- Deployment via Tonic Cloud or self-hosted
- Dedicated account manager
- Onboarding and implementation support
- Direct contact with your account team via Slack