picturereader
DeepSeek Harness image-understanding plugin for text-only models, with local image tools, OCR, document rendering, and an optional external VLM bridge.
Install
$ dsh plugin --profile web add picturereader # npm 包;或从源码: dsh plugin --profile web add .Plugin Overview & Capabilities
AI-assisted organization based on the public repository snapshot. The content must be grounded in source evidence and does not replace compatibility or security verification.
Key Capabilities
- Installs through `dsh plugin --profile web add picturereader` or headless-profile installation.
- Adds image tools including scan, OCR, sampling, crop, palette extraction, comparison, batch processing, and unified vision analysis.
- Provides a visual-twin adapter that exposes selected text models as image-capable `(视觉)` variants in DSH.
- Supports privacy, smart, and strict routing modes for local evidence gathering and optional external VLM use.
- Offers three OCR engine choices: built-in Windows OCR plus optional PaddleOCR and RapidOCR.
- Converts PDF, Word, Excel, and PowerPoint documents into PNG pages using optional local dependencies.
- Adds a DSH Web settings card for image-reading, OCR, routing, external VLM, and visual-twin configuration.
Useful For
- Reading screenshots, charts, interfaces, and image-based text with text-only DSH models.
- Running local OCR and pixel-level inspection for sensitive or offline image workflows.
- Comparing images or regions, extracting palettes, and processing batches of images.
- Rendering supported office documents or PDFs into images for page-by-page analysis.
- Using an external OpenAI-compatible VLM for semantic image interpretation when configured.
Who It Fits
- DeepSeek Harness users working with text-only models.
- Users who need local image inspection and OCR tools.
- Users who want optional, configurable external vision-model integration.
- Users analyzing image-based documents in DSH.
Documented Limitations
- WebP is not supported by image_scan and vision_analyze; images must be converted to PNG or JPEG first.
- Native thumbnails for text models require enabling visual-twin models and restarting DSH.
- Changes to selected visual bridge models require a DSH restart.
- Optional PaddleOCR, RapidOCR, and document conversion require separate setup; document conversion also requires LibreOffice and PyMuPDF.
- External VLM analysis requires a configured endpoint and may be unavailable offline.
- The README notes that DSH attachment uploads default to about 5 MB, which may block large images before plugin processing.
- The README recommends disabling `dsh-file-drop` because its image injection can conflict with the visual-twin/image bridge flow.
DSH Compatibility
Version-specific runtime evidence collected by DSH Plugin. A missing result means we have not tested that combination yet.
Security Signals
Objective signals discovered from package metadata and source inspection. These are not a guarantee that a plugin is safe.
package.json declares 3 runtime, 0 development, 3 peer, and 0 optional dependencies.
package.json declares DSH bundle metadata.
GitHub reports the repository license as MIT.
A root package.json was captured and can be inspected by the registry.
Public GitHub source metadata is available for this registry snapshot.
Source & Registry Notes
Public provenance, Registry classification, and the latest source check for this entry, kept separate from runtime verification.
- Source repository
- jing-hy/picturereader
- Registry source
- GitHub · dsh-plugin topic
- Registry classification
- Plugin
- Source checked
- 8cd65e1 · 2026-08-21
This project is independently indexed from public source information. DSH Plugin is not affiliated with DeepSeek or the plugin author. Always check the author repository before installation.
Repository Activity
- GitHub stars
- 30GitHub stars
- Forks
- 4
- Open issues
- 0
- Last commit
- 2026-08-20
- Last release
- No release detected
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