📷 PhotoS
CLI for AI agents, GUI for humans. PhotoS is a cross-platform batch photo toolbox: a full Tkinter GUI — v2.2 workspace with Library / Develop (live pipeline preview + histogram + edit tools beside it, copy/paste settings between photos, per-photo undo) / Export (photo queue + output settings + named export recipes) / Tools modules — and a CLI / REST / MCP surface with one versioned JSON contract for AI agents.
🖥 GUI for humans · ⌨️ CLI for AI agents ·
pip install photo-s-tools
English · 中文
🤖 Built for AI agents
PhotoS is an AI-agent-ready image pipeline: four integration paths, one versioned
JSON contract (schema_version, additive-only — upgrades never break a consumer).
| Path | Entry point |
|---|---|
| MCP server — 30 core tools + plugin tools auto-registered (process / suggest / autopilot / index / find / select / hdr / blurfaces / dedup / …) | claude mcp add photo-s -- photo-s mcp |
| Packaged SKILL.md — skill-capable agents, zero extras | cp -r skills/photo-s ~/.claude/skills/ |
| REST API — async tasks + SSE progress | photo-s serve --port 0 --token auto --ready-file x.json |
| Python library — no IPC overhead | from photo_s.engine import batch_process |
Every output carries schema_version; JSON keys are always English; per-file
errors never abort the batch; destructive actions require an explicit flag.
Full contract: docs/AGENT_API.md.
✨ Features
| Feature | GUI | CLI | Description |
|---|---|---|---|
| Batch compress | ✅ | ✅ | JPEG/WebP/HEIC/AVIF quality tuning, chroma subsampling (444/422/420) |
| Target size mode | ✅ | ✅ | Auto-tune quality to fit under a target file size |
| Format convert | ✅ | ✅ | JPEG / PNG / WebP / TIFF / BMP / HEIC / AVIF |
| RAW decode | ✅ | ✅ | 22+ camera RAW formats, built-in (rawpy/libraw); demosaic algorithm choice, color space (sRGB/AdobeRGB/ProPhotoRGB), 16-bit TIFF output, auto sRGB ICC tagging |
| Resize / Scale | ✅ | ✅ | Max dimensions, percentage, or longest-side cap |
| Visual preview | ✅ | — | Live original↔processed preview rendered through the real pipeline (v2.4: per-photo adjustments injected) |
| Tone & color | ✅ | ✅ | Brightness/contrast/saturation/gamma/sharpen, B&W, sepia |
| Export sharpen | ✅ | ✅ | LR-style output-stage USM, radius scales with output resolution |
| White balance | ✅ | ✅ | Kelvin temperature or gray-card sampling |
| WB tint axis | ✅ | ✅ | Green(-)/magenta(+) G-M axis |
| Point curves / levels | ✅ | ✅ | PCHIP point curves, manual black/white/gamma |
| 3-way color grading | ✅ | ✅ | Shadows/midtones/highlights hue + sat zones |
| HSL split | ✅ | ✅ | 8 color domains, hue/sat/lum shifts |
| Point color | ✅ | ✅ | Targeted hue/sat/lum around a sampled color + range |
| Local masks | ✅ | ✅ | Named linear/radial/color-range masks + v1.8 AI segmentation (subject/person/object:class), brush strokes (subtract mode), combos (A&B / A-B); 11 scalar + 5 string local adjustments under each |
| Lens correction | ✅ | ✅ | Manual distortion k1, vignette fix, CA fix (pure numpy); named user-maintained lens profiles |
| Perceptual analysis | ✅ | ✅ | Histograms / channel stats / WB lean / exposure / blur (analyze) |
| Param suggestions | — | ✅ | Rule-based suggest: analyze stats → conservative fix params with reasons (zero models, offline) |
| Vibrance / clarity / texture | ✅ | ✅ | Natural saturation, local contrast |
| Dehaze / vignette / grain | ✅ | ✅ | Dark-channel dehaze, radial vignette, film grain |
| Exposure | ✅ | ✅ | Stops adjustment or normalize-to-target auto exposure |
| Auto levels | ✅ | ✅ | 2% clip histogram stretch |
| Highlight recovery | ✅ | ✅ | LR-style: compress flat clipped highlights back to visible gradient |
| LOG recovery | ✅ | ✅ | SLOG3/CLOG3/LOGC3/DLOG/VLOG/HLG (1D LUT, no deps) |
| LUT grading | ✅ | ✅ | .cube trilinear (plugin adds tetrahedral + 5 film presets) |
| AI auto-tone | ✅ | ✅¹ | Plugin: CLIP+MLP predicts 9-field LR params + confidence, RAG boost, optional Qwen3-VL aesthetic score & advisor (photo-s-plugin-auto-tone[model]); v2.3 wired into the engine slot (--auto-tone), MCP tools and REST routes auto-register on install; v2.4 Develop "AI tone" button writes the params into the per-photo overlay — tweakable, undoable; v2.4 local-adjustment vocabulary (model predicts subject/person/object mask adjustments through the mask pipeline) + aesthetic verifier (audit --aesthetic, SigLIP head / Qwen final review) |
| Denoise | ✅ | ✅¹ | NLM ([enhance] extra) |
| Auto-straighten | ✅ | ✅¹ | Level the horizon, confidence-gated ([enhance] extra) |
| HDR merge | ✅ | ✅¹ | Exposure fusion, handheld alignment ([enhance] extra) |
| Face blur | ✅ | ✅¹ | Blur or pixelate faces, Haar cascade ([enhance] extra) |
| Cutout | ✅ | ✅ | Background removal → alpha: AI segmentation (subject/person/object:class) or color key (color:R,G,B[tol,feather,invert] — white-bg text/logo); PNG/WebP/TIFF/AVIF/HEIC (JPEG errors per file) |
| Crop / Rotate / Flip / Pad | ✅ | ✅ | Unified aspect crop + arbitrary geometry |
| Print size | ✅ | ✅ | Center-crop + exact print pixels at a DPI |
| Smart rename | ✅ | ✅ | Date/camera/sequence templates |
| Auto folder organize | ✅ | ✅ | Date/camera subfolder creation |
| Watermark | ✅ | ✅ | Text + image overlay, 7 positions |
| Multi-size output | ✅ | ✅ | One input set, N labeled outputs |
| Metadata tagging | ✅ | ✅ | Rating/keywords/caption batch tag (UserComment) |
| Metadata filter | ✅ | ✅ | Find photos by rating/keywords |
| Metadata import | — | ✅ | Batch write from spreadsheet |
| Culling | ✅ | ✅ | Exposure/sharpness filter (GUI keeps only matches, undoable); --score weighted quality ranking + --burst keep-best-per-burst |
| Select (keeper) | ✅ | ✅ | Sort by rating — keep/reject thresholds (≥4 keep, ≤2 reject) |
| Burst keep-sharpest | ✅ | ✅ | Keep the sharpest of a burst |
| Checksum manifest | ✅ | ✅ | SHA-256 archive integrity + verify |
| HTML gallery | ✅ | ✅ | Self-contained index.html + thumbnails |
| Presets | ✅ | ✅ | Save/load named configs + built-in lr-look (LR-style grade: S-curve, vibrance, export sharpen) |
| Multi-profile batch | — | ✅ | One input set, N output profiles |
| Parallel processing | ✅ | ✅ | Multi-threaded |
| JSON output | — | ✅ | Machine-readable output for AI agents |
| Config file | — | ✅ | TOML defaults |
| EXIF edit | — | ✅ | Batch copyright/author/GPS |
| Preset apply | — | ✅ | One-click apply a saved style |
| EXIF date shift | — | ✅ | Timezone/camera clock fixes |
| Privacy scrub | — | ✅ | Strip EXIF + ICC + GPS |
| Sync date | — | ✅ | Output mtime ← EXIF datetime |
| Folder watch | ✅ | ✅ | Auto-process new files ([watch] extra) |
| Auto-rotate | ✅ | ✅ | EXIF Orientation-based |
| Image dedup | ✅ | ✅ | Perceptual hash duplicate detection |
| Quality metrics | ✅ | ✅ | SSIM / blur score |
| CSV report | — | ✅ | Per-file stats |
| Integrity check | — | ✅ | Corrupt file scan |
| Contact sheet | ✅ | ✅ | Grid montage |
| Color management | — | ✅ | sRGB / CMYK flatten |
| REST API | — | ✅ | HTTP server for agents (async tasks + SSE progress) |
| Plugin system | — | ✅ | Third-party plugin support |
| Official plugin manager | — | ✅ | list/install/info/fetch + pip install |
| MCP server | — | ✅ | 30 core tools (+plugin tools auto-register) for MCP clients (Claude Desktop / Claude Code / any MCP client) |
| Batch benchmark | — | ✅ | Worker-scaling measurement |
| XMP sidecar export | — | ✅ | xmp-export / batch --write-xmp: write PhotoS adjustments as LR-readable .xmp sidecars (crs field inverse mapping + radial/linear masks + rating/keywords) — open the original in Lightroom and continue editing (v2.5) |
| Unattended pipeline | ✅ | ✅ | autopilot: watch a folder -> suggest/auto-tone -> audit gate -> route to passed/ or review/ with a JSONL trace; --write-xmp closes the data loop (human fixes in LR become residual training signal) (v2.5) |
| Semantic search / auto-tag | — | ✅ | index builds an embedding index (SigLIP text+image with the plugin, built-in 84-dim histogram without); find by text or image; --tags auto-tags into EXIF/XMP keywords (v2.5) |
¹ Denoise / auto-straighten / HDR / face blur need an optional dependency:
pip install photo-s-tools[enhance](opencv-python-headless). When missing, these features give a clear install hint and the rest keeps working.
📦 Install
pip install photo-s-tools # core — RAW decode (rawpy) built in
pip install "photo-s-tools[enhance]" # + opencv: face blur / HDR / denoise / straighten
pip install "photo-s-tools[tiff16]" # + tifffile: 16-bit RAW → TIFF output
pip install "photo-s-tools[mcp]" # + MCP server (Python 3.10+)
Zero-install (uvx): uvx --from photo-s-tools photo-s --help ·
uvx --from "photo-s-tools[mcp]" photo-s mcp
🚀 Quick start
photo-s batch 'RAW/*.ARW' --format jpeg -o out/ -q 90 # batch RAW → JPEG
photo-s batch 'RAW/*.ARW' -o out/ -q 95 --jpeg-subsampling 444 \
--raw-demosaic amaze # max quality RAW → JPEG
photo-s batch 'RAW/*.ARW' -o out/ --preset lr-look # LR-style grade out of the box
photo-s compress *.jpg --target-size 5MB -j 8 # auto-tune to ≤5MB
photo-s select ~/shoot/ -r --selects-dir picks --rejects-dir bin --dry-run
photo-s hash ~/deliver/ -o manifest.csv --verify manifest.csv
photo-s --help lists all 35 commands. Language: --language en|zh|auto.
🧭 Documentation
| Doc | Contents |
|---|---|
docs/FEATURES.md |
Full inventory — 35 CLI commands, engine pipeline |
docs/AGENT_API.md |
Agent contract: JSON shapes, exit codes, REST, MCP |
docs/PLUGINS.md |
Plugin system: SCUNet denoise, LUT, write your own |
docs/GUI_CHANGES.md |
GUI behavior & interface contract |
docs/ROADMAP.md |
Version roadmap (v1.6.0: Lightroom-direction grading) |
docs/COMMERCIAL.md |
Commercial licensing: dual-license terms, boundary table & FAQ |
Names: PyPI distribution
photo-s-tools(the obviousphoto-sis taken) · CLI commandphoto-s· Python packagephoto_s· brand PhotoS.
⚠️ Limitations
PhotoS is a batch / delivery pipeline, not an interactive editor — no RAW-domain editing. Local editing is spec-driven: named masks (linear/radial/color/AI segmentation/brush strokes/combos) + local adjustments under masks, all as compact strings that serialize through CLI/REST/MCP/presets.
- On-device inference, no cloud. Denoise model weights (SCUNet) download to your machine on first use; nothing is uploaded.
- Licensing (dual license). Official code and most official model weights
(incl. the SCUNet checkpoint) are MIT — free for commercial use. One
exception: the auto-tone plugin's model weights are CC-BY-NC 4.0 — free
forever for personal and non-commercial use, commercial use requires a
paid license (trained on the author's personal Lightroom edits):
1634103640@qq.com · dwphoto.top/message.
See
COMMERCIAL.mdfor a plain-language boundary table and FAQ (Chinese). Third-party plugins and models carry their own licenses; verify before redistribution.
📄 License
MIT
1 maintainer
Release files for photo-s-tools 2.5.1
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Total release size: 1.0 MB
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