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2.4 KiB
2.4 KiB
Document Transcription System (V1)
This project is a personal-scale application for transcribing and preserving historical family documents.
Start Here
Read architecture.md first.
The architecture page is the primary technical reference for:
- runtime topology and infrastructure assumptions
- module boundaries and dependency flow
- processing lifecycle and data ownership
- test strategy and extension path
What The Application Does
At a high level, users upload images/PDFs, jobs are processed asynchronously, and users review original transcriptions plus optional revisions.
Core V1 capabilities:
- upload supported source files (
.jpg,.jpeg,.png,.tif,.tiff,.pdf) - asynchronous job processing with visible status (
queued,processing,transcribed,failed) - immutable original transcription stored on
Job.text - optional single user-authored revision per source (
0..1) - prompt artifacts stored as Markdown files in
prompts/
Current Operating Model (V1 Baseline)
- application service: FastAPI + NiceGUI
- persistence baseline: SQLModel with SQLite
- worker: in-process async background loop
- deployment baseline: lightweight Docker Compose app runtime
Planned persistence evolution (PostgreSQL and optional MongoDB) belongs to V2 planning and is tracked separately.
Documentation Map
- Architecture and technical design: architecture.md
- V1 runtime and requirement baseline: requirements.md
- Data model and constraints: schema.md
- Error handling policy and operational guidance: error_handling.md
- V1 requirement evidence matrix: traceability_v1.md
- Operations runbook: runbook.md
- V1 migration and rollback guidance: migration_v1.md
- V1 release checklist: release_checklist_v1.md
- Domain context and transcription policy: intent.md
- Transcription methodology: transcription_methodology.md
- V1 execution plan: ver1/ver1.md
- V2 roadmap: ver2/ver2.md
Glossary
- Prompt artifact: a Markdown file containing one transcription prompt.
- Original transcription: immutable provider output stored on
Job.text. - Revision: optional user-authored text linked to a
Source. - System of record: the authoritative persistent store for canonical application data.