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Fix stale image-only copy and add 1.x-to-2.0 migration guide (#454)
* docs: add 1.x-to-2.0 migration guide and upgrade notice Adds MIGRATING.md with backup and upgrade steps, plus a short "coming from 1.x?" callout in README and the docs upgrade guide pointing existing users at it. * fix: replace stale image-only and pre-rename data copy across product SnapOtter grew from an image-only tool into a 5-modality suite (Image, Video, Audio, PDF, Files), but copy in several places never caught up. Fixes: - dropzone.defaultFormats (i18n): every non-English locale still had the pure pre-2.0 image-only format list; English omitted Files entirely. Corrected across all 21 locales. - settings.about.appDescription (i18n): "document, and data" workflow copy updated to "PDF, and file" across all 21 locales. - constants.ts: Files category's raw name was still "Data Files". - Landing hero subtitle, JSON-LD schema, llms.txt, and 7 spots in the competitor-comparison pages. - Docs: VitePress config, supported-formats, deployment, and an architecture.md modality-naming nit. - OpenAPI description, root package.json description/keyword, and a GitHub issue template dropdown option. DOCKERHUB.md's separate "v1.x, image tools only" pre-release notice is left untouched since 2.0 hasn't published to Docker Hub yet. * test: update dropzone format-hint assertion to match corrected copy The expected string still had the stale image-only/duplicated PDF-Documents text from before the dropzone.defaultFormats fix.
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@@ -49,7 +49,7 @@ Shared TypeScript types, constants (like `APP_VERSION` and tool definitions), an
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### API (`apps/api`)
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A Fastify v5 server exposing 241 tool routes across five modalities (image, video, audio, document, file) that handles:
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A Fastify v5 server exposing 241 tool routes across five modalities (image, video, audio, PDF, file) that handles:
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- File uploads, temporary workspace management, and persistent file storage
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- User file library with version chains (`user_files` table) - each processed result links back to its source file and records which tool was applied, with auto-generated thumbnails for the Files page
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- Tool execution (routes each tool request to the image engine or AI bridge)
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@@ -213,13 +213,13 @@ These numbers come from benchmarks across a range of systems, from a modern amd6
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| Tier | Use Case | CPU | RAM | GPU | Storage |
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|------|----------|-----|-----|-----|---------|
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| Minimum | Image, data, and light PDF tools; single user; small batches | 2 cores | 2 GB | None | ~7 GB |
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| Recommended | All five modalities incl. video, documents, and AI on CPU; batches; a few users | 4 cores | 4 GB | None | ~25 GB |
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| Minimum | Image, files, and light PDF tools; single user; small batches | 2 cores | 2 GB | None | ~7 GB |
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| Recommended | All five modalities incl. video, PDF, and AI on CPU; batches; a few users | 4 cores | 4 GB | None | ~25 GB |
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| Full | Everything at speed incl. GPU AI; large batches; many users | 6-8 cores | 8 GB | NVIDIA 8 GB+ VRAM (12 GB comfortable) | ~35 GB |
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**Architecture: 64-bit only** (`linux/amd64` or `linux/arm64`). SnapOtter runs natively on Intel/AMD servers, Apple Silicon Macs, and 64-bit ARM boards including the **Raspberry Pi 4 and 5** (4-8 GB). It does **not** run on 32-bit ARM (`armv7`/`armhf`) — no image is built for it — nor on 512 MB-class boards such as the Pi Zero, which are below the memory floor (see below).
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### Minimum (image, data, and light PDF tools; no AI)
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### Minimum (image, files, and light PDF tools; no AI)
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| Resource | Requirement |
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|---|---|
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@@ -1,10 +1,10 @@
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---
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description: Supported file formats across all modalities - 55+ image input formats, video, audio, document, and data formats.
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description: Supported file formats across all modalities - 55+ image input formats, video, audio, PDF, and file formats.
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---
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# Supported Formats
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SnapOtter processes files across five modalities: image, video, audio, document, and data. This page lists all supported formats.
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SnapOtter processes files across five modalities: image, video, audio, PDF, and files. This page lists all supported formats.
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## Image Formats
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