Vera Grita Pdf

| ID | Requirement | Description | |----|-------------|-------------| | FR‑01 | | Ingest the source PDF, generate page‑image tiles (PNG, 150 dpi), extract full text via OCR (fallback to embedded text), store in a searchable index (Elasticsearch/OpenSearch). | | FR‑02 | Viewer component | Use PDF.js (or an equivalent open‑source library) with custom UI overlays for search, annotations, and accessibility controls. | | FR‑03 | Search engine | Index the extracted text. Support fuzzy matching, phrase queries, and stop‑word removal for Spanish/English. | | FR‑04 | AI services | – Summarization: OpenAI GPT‑4o or Azure OpenAI (or locally hosted Llama 3). – Keyword extraction: same LLM or a TF‑IDF fallback. – Q&A bot: LLM with context limited to the PDF’s text. | | FR‑05 | Annotation storage | PostgreSQL table annotations(id, user_id, page, start_offset, end_offset, comment, created_at, updated_at, version) . | | FR‑06 | Authentication & sharing | – JWT‑based auth for edit mode. – Public share token (UUID) with optional password. | | FR‑07 | Download conversion | Use pdf2epub for EPUB, pdfminer for plain text. Preserve highlight metadata using PDF annotation objects when exporting PDF. | | FR‑08 | API | RESTful endpoints (GET metadata, GET page images, GET plain text). Swagger/OpenAPI spec provided. | | FR‑09 | Analytics | Event tracking via Segment/Amplitude: view , search , download , annotation_created . | | FR‑10 | Internationalisation | UI strings in EN, ES, PT; language auto‑detect based on browser. | | FR‑11 | Accessibility | WCAG 2.2 AA compliance: keyboard navigation, ARIA labels, high‑contrast mode, screen‑reader friendly focus order. |

| Goal | How the hub helps | |------|--------------------| | the PDF quickly | Prominent search result, deep‑link, QR code. | | Read it comfortably on any device | Responsive viewer with zoom, night‑mode, text‑to‑speech. | | Understand the content | AI‑driven summary, keyword extraction, translation, and Q&A. | | Collaborate around it | Inline comments, highlights, shareable annotations, export. | | Reuse the material | Download options (PDF, EPUB, plain‑text) and API endpoint for developers. | vera grita pdf

| Persona | Motivation | Primary Use Cases | |---------|------------|-------------------| | | Needs to cite and extract specific passages. | Search inside PDF, highlight, export citations. | | Educator | Wants to build lesson plans around the text. | Summarize chapters, create quizzes via AI, share annotated versions. | | Journalist / Blogger | Must verify quotes quickly. | Text‑to‑speech for fast listening, Q&A bot to locate statements. | | Accessibility Advocate | Requires a fully accessible reading experience. | Screen‑reader friendly viewer, high‑contrast mode, audio narration. | | Developer / Integrator | Wants to embed the PDF in other tools. | Public REST endpoint returning PDF metadata, embed iframe, SDK. | – Q&A bot: LLM with context limited to the PDF’s text

Vera Grita, Mystic of the Eucharist – Salesian Bulletin Online Without more context

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