feat: per-extraction OCR language override
Allow users to specify a Tesseract language string (e.g. jpn+jpn_vert)
on a per-extraction basis, overriding the global OCR language setting.
- Add payload column to ai_jobs table (migration) to carry per-call data
- Thread ocrLanguages payload through enqueueJob → processNextJob → extractItemText
- New GET /api/ai-settings/ocr endpoint (requireAuth) returns { ocrMode, ocrLanguages }
- ImageLightbox fetches OCR settings and shows a language input next to the
Extract Text button when mode is hybrid or tesseract (hidden for llm-only)
- MixedView fetches OCR settings and passes them down to EntryTile; kebab
Extract Text on images shows an inline language prompt before dispatching the job
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
11
src/app/api/ai-settings/ocr/route.ts
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11
src/app/api/ai-settings/ocr/route.ts
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@@ -0,0 +1,11 @@
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import { NextRequest, NextResponse } from 'next/server'
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import { requireAuth } from '@/lib/auth'
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import { getAiConfig } from '@/lib/app-settings'
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export async function GET(request: NextRequest) {
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const auth = await requireAuth(request)
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if (auth instanceof NextResponse) return auth
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const { ocrMode, ocrLanguages } = getAiConfig()
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return NextResponse.json({ ocrMode, ocrLanguages })
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}
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@@ -3,14 +3,14 @@ import { requireLibraryAccess } from '@/lib/auth'
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import { enqueueJob } from '@/lib/ai-jobs'
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export async function POST(request: NextRequest) {
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let body: { itemKey?: string }
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let body: { itemKey?: string; ocrLanguages?: string }
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try {
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body = await request.json()
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} catch {
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return NextResponse.json({ error: 'Invalid JSON body' }, { status: 400 })
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}
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const { itemKey } = body
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const { itemKey, ocrLanguages } = body
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if (!itemKey || typeof itemKey !== 'string') {
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return NextResponse.json({ error: 'itemKey is required' }, { status: 400 })
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}
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@@ -19,6 +19,12 @@ export async function POST(request: NextRequest) {
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const auth = await requireLibraryAccess(request, libraryId)
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if (auth instanceof NextResponse) return auth
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const jobId = enqueueJob(itemKey, 'extract', libraryId)
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const jobId = enqueueJob(
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itemKey,
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'extract',
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libraryId,
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undefined,
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ocrLanguages ? { ocrLanguages } : undefined,
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)
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return NextResponse.json({ jobId }, { status: 202 })
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}
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