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chore: use "200+ tools" for the tool-count claim across public surfaces (#364)
* fix(landing): correct PDF tool count to 28 in alternatives copy
The pdf section has 28 tools (section.test.ts asserts bySection('pdf')=28). PR #363 corrected the docs breakdown but the alternatives pages still said 40 PDF tools (the document-modality count, not the pdf section) with 200 for the rest. Update to 28 PDF tools and 212 for the non-PDF remainder.
* chore: use "200+ tools" for the tool-count claim across public surfaces
Replaces the exact '240 tools' count (which drifts as tools are added) with the stable '200+ tools' on README, the Docker Hub overview, landing pages, the docs site (meta, homepage, search), the API self-description, the demo OG tag, llms.txt, package.json, the branding readme, and the en/nl app strings. Per-modality breakdown tables stay exact. Leaves the architecture doc's technical 'tool routes' figure, an internal vitest comment, and a QA report line unchanged. Updates the two tests that assert the docs strings.
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@@ -1,6 +1,6 @@
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# SnapOtter
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> Open-source, self-hostable file processing suite with 240 tools across 5 modalities (image, video, audio, document, data). Single Docker container, no external services. Dual-licensed AGPLv3 / commercial.
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> Open-source, self-hostable file processing suite with 200+ tools across 5 modalities (image, video, audio, document, data). Single Docker container, no external services. Dual-licensed AGPLv3 / commercial.
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SnapOtter runs entirely on your own infrastructure. Files are processed locally with no data sent to external APIs. Deploy once with Docker and use it as much as you need. Supports GDPR, HIPAA, and CCPA compliance by architecture.
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@@ -60,7 +60,7 @@ SAML SSO (Okta, Azure AD, Google Workspace, any OIDC), SCIM Provisioning, Multi-
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- Self-hosted: all processing on your infrastructure, no cloud dependency
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- Privacy-first: files never leave your network, air-gapped capable
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- 240 tools across 5 modalities (image, video, audio, document, data)
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- 200+ tools across 5 modalities (image, video, audio, document, data)
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- 15 local AI models, no external API calls
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- Batch processing with ZIP output
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- Pipeline automation: chain tools sequentially
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