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SnapOtter

Private file processing for data that can't leave your network.

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SnapOtter is open-source, self-hosted file-processing infrastructure for converting, compressing, OCR-ing, transcribing, and running local AI across image, video, audio, PDF, and document files. It is designed for data that must stay within your own network, with processing occurring on infrastructure you own rather than through external services.

The platform offers more than 200 tools across five file modalities, accessible through a web UI, a REST API with OpenAPI documentation, and automated pipelines. Capabilities include format conversion, compression, metadata stripping, batch operations, PDF merge/split/protect/redact, and local AI features such as background removal, upscaling, OCR, transcription, and smart crop. It supports SAML SSO, SCIM provisioning, MFA, per-tool permissions, multi-tenancy, audit export, S3-compatible storage, and webhooks. Deployment runs via Docker, Kubernetes, or bare metal on ARM and x86, including air-gapped environments.

SnapOtter targets teams and individuals needing private file processing, including regulated environments. It is self-hosted and open source, with enterprise licensing and deployment options available through direct contact.

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