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>log in to commentUnlike the usual separate labeling, training and serving pipelines, Pictograph lets you go from SAM3 auto‑annotation to TensorRT‑powered live inference in a single app or CLI. I built it to give agents and developers a seamless way to label, train and deploy real‑time vision models. Would love your thoughts on the workflow 😊
Pictograph lets you label, train and deploy computer-vision models with SAM3 auto-annotation, managed GPU training and TensorRT live endpoints.
- for
- Developers and AI agents building real-time vision pipelines.
- pricing
- freemium · free trial
- license
- MIT
Key features
- SAM3 auto-annotation — Draft bounding boxes, masks or text prompts on single images or datasets and review drafts before training.
- Managed GPU training — Train detection, segmentation, keypoint or classification models on chosen GPUs without conversion scripts.
- TensorRT live deployment — Deploy models as real-time endpoints on T4/L4/A100 and stream video via RTSP or WebRTC.
- CLI, Python SDK & REST API — All actions available via command line, SDK or API with JSON output for agent integration.
- Workflows & analytics — Run video workflows that track objects, count line crossings and measure dwell time with webhook delivery.
- Dataset & model import/export — Import from V7, Roboflow or custom files and export to COCO, YOLO, Pascal VOC and 12 other formats.
Use cases
- Label large image collections with SAM3 and review uncertain drafts before training.
- Train a custom object detector on managed GPUs and export to ONNX for edge deployment.
- Deploy a model as a TensorRT endpoint and stream live video for real-time object tracking.
- Run a people-counter workflow on surveillance video to get counts, dwell time and occupancy.
- Integrate vision inference into an AI agent using the Python SDK or Claude Code plugin.
Pictograph pricing
- Free$0$5/mo compute · 5,000 images · 2 GB storage · 1 team member
- Core$29/month/month$29/mo compute · 25,000 images · 100 GB storage · 5 team members
- Pro$79/month/month$50/mo compute · 100,000 images · 500 GB storage · 15 team members
- Team$199/month/month$100/mo compute · 500,000 images · 2 TB storage · 50 team members
Pictograph vs alternatives
 Pictograph |  Replicate |  Directus |  Vonage |  Ollama | |
|---|---|---|---|---|---|
| Best for | End-to-end vision pipelines for agents | API-first model serving | Content management | Messaging and video APIs | Local LLM inference |
| Pricing | Freemium | Subscription | Free | Subscription | Free |
| DevHunt upvotes | 1 | 0 | 0 | 0 | 0 |
| Launched | Oct 2031 | — | — | — | — |
- Pictograph vs Replicate: Runs and fine-tunes AI models via API, but focuses on generic model serving rather than full vision pipeline tooling.
- Pictograph vs Directus: Provides a headless CMS for data, not specialized vision labeling, training or live deployment.
- Pictograph vs Vonage: Offers communication APIs (SMS, voice, video) rather than computer-vision pipelines.
- Pictograph vs Ollama: Runs open language models locally; unrelated to vision model training or deployment.
Pictograph FAQ
What are compute credits?+
Compute credits are a monthly USD balance that pays for GPU work such as auto-annotation, training, deployments and workflows.
Is there a card required for the free plan?+
No, the free plan provides $5 of monthly compute without requiring a credit card.
Are there per-seat or per-label fees?+
No, plans have flat monthly fees; manual annotation is always free and there are no per-seat or per-label charges.
What happens if I run out of compute?+
Operations pause at the allowance and you are warned; you can add a card for pay-as-you-go or upgrade the plan.
Can I change plans later?+
Yes, you can upgrade or downgrade at any time with immediate effect and prorated billing.
Summarized by DevHunt from pictograph.io · Nov 2, 2026. Details may change; check the official site.
