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feat(i18n): 21-language pipeline, landing/docs/API wiring, landing+API translations
Shared Claude Code translation pipeline (scripts/i18n, no API key) plus Astro/VitePress/Scalar i18n wiring. Landing and API reference translated into all 20 languages; docs i18n wiring + English source anchors. The translated docs markdown (apps/docs/<locale>/**, 3,620 files) follows in a companion PR because it exceeds GitHub's per-PR CI file limit.
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description: Detect duplicate and near-duplicate images using perceptual hashing.
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---
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# Find Duplicates
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# Find Duplicates {#find-duplicates}
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Upload multiple images to detect duplicates and near-duplicates using perceptual hashing (dHash). Groups similar images together, identifies the best quality version in each group, and calculates potential space savings.
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## API Endpoint
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## API Endpoint {#api-endpoint}
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`POST /api/v1/tools/image/find-duplicates`
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Accepts multipart form data with multiple image files and an optional JSON `settings` field.
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## Parameters
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## Parameters {#parameters}
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| Parameter | Type | Required | Default | Description |
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|-----------|------|----------|---------|-------------|
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| threshold | number | No | `8` | Maximum Hamming distance to consider images as duplicates (0 to 20). Lower = stricter matching |
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### File Fields
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### File Fields {#file-fields}
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Upload at least 2 image files in the multipart request (all using the `file` field name or any field name for file parts).
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## Example Request
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## Example Request {#example-request}
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```bash
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curl -X POST http://localhost:1349/api/v1/tools/image/find-duplicates \
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-F 'settings={"threshold": 8}'
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```
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## Example Response
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## Example Response {#example-response}
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```json
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{
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}
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```
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## Response Fields
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## Response Fields {#response-fields}
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| Field | Type | Description |
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|-------|------|-------------|
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| spaceSaveable | number | Total bytes that could be saved by removing non-best duplicates |
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| skippedFiles | array | Files that could not be processed (with filename and reason) |
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### Duplicate Group Object
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### Duplicate Group Object {#duplicate-group-object}
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| Field | Type | Description |
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|-------|------|-------------|
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| groupId | number | Group identifier |
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| files | array | Images in this duplicate group |
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### File Object (within a group)
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### File Object (within a group) {#file-object-within-a-group}
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| Field | Type | Description |
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|-------|------|-------------|
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| isBest | boolean | Whether this is the highest quality version (most pixels, largest file) |
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| thumbnail | string or null | Base64 JPEG thumbnail (200px wide) for preview |
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## Notes
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## Notes {#notes}
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- Uses a 128-bit dHash (64-bit row + 64-bit column) for perceptual similarity detection. This catches duplicates even across resizes, recompression, and minor edits.
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- The threshold represents maximum Hamming distance between hashes. Default of 8 catches near-duplicates while avoiding false positives. Use 0 for pixel-identical only, or 15-20 for very loose matching.
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