# JetCounter vs Labelbox

JetCounter records 698 monthly visits with -23.9% month-over-month growth and Freemium pricing. Labelbox records 762,803 monthly visits with -22.8% growth and Contact for Pricing pricing.

| Metric | [JetCounter](https://openaitools.app/tool/jetcounter) | [Labelbox](https://openaitools.app/tool/labelbox) |
| :--- | :--- | :--- |
| Website URL | https://jetcounter.co | https://labelbox.com |
| Categories | AI Image Recognition, AI Detector, AI Productivity Tools, AI Assistant | AI Developer Tools, AI API, AI Workflow, AI Productivity Tools |
| Pricing Model | Freemium | Contact for Pricing |
| Monthly Visits | 698 | 762,803 |
| MoM Growth Rate | -23.9% | -22.8% |
| Primary Market | Türkiye | United States |
| Direct Visits | 288 | 370,024 |
| Review Score | 3.8 | 4.4 |
| Saved Count | 3 | 0 |
| Supported Platforms | Website | Website |

## JetCounter

JetCounter targets a very specific, repetitive problem: counting physical items by hand. Instead of tallying stock, parts, or medication visually, you open the Android app, choose a template that matches the item category, and either take a photo or select an image. JetCounter's detection algorithms identify and count the items, and you can then review the result and manually add or remove items to correct any mistakes.

The app ships with a broad library of built-in templates covering industrial and commercial categories — pipes, boxes, pallets, bricks, sacks, pearls, coins, tires, bottles, washers, nuts, screws, nails, pills, capacitors, LEDs, integrated circuits, wooden planks, oxygen cylinders, and more. The company also offers a custom template service: submit 500+ product images from your category and receive a template built for it.

Results are designed to be practical in the field. Counts can be exported as PDF reports that include location data, which is useful for stocktakes, audits, and site surveys. JetCounter runs on Android devices, requires no ads on the paid tiers, and is positioned as much faster than manual counting while remaining easy to use for people without any technical background.

**Pricing & Plans:** Freemium. The free tier counts up to 100 items per month from any category with essential app features and limited templates. The Essential Bundle removes limits: daily $1 per device, 1 week $5, 1 month $19, 1 year $199 per device.

- **Real-time AI item detection:** Count items directly from your camera or a selected image using computer vision algorithms built for speed and accuracy.
- **Built-in template library:** Ready-made templates for industrial and commercial categories such as pipes, boxes, pallets, pills, coins, tires, and electronic parts.
- **Manual correction:** Review every count and add or remove items before saving, so the final number reflects what you actually see.
- **PDF reports with location:** Export counts as PDF reports that include location data, useful for stocktakes, audits, and site documentation.
- **Custom template requests:** Submit 500+ images from your own product category to receive a dedicated template built for that item type.

**Strengths:** Turns slow manual counting into a fast camera-based workflow on Android; Wide library of built-in templates across many industrial and commercial categories; Manual add/remove corrections keep the final count under your control; Free tier plus low-cost per-device bundles for heavier use

**Limitations:** Android-only; there is no iOS version available; Counting accuracy depends on clean camera conditions, good lighting, and an updated Android device; Advanced use is priced per device rather than per account, which can add up across a large fleet

[Profile (Markdown)](https://openaitools.app/tool/jetcounter.md)

## Labelbox

Labelbox occupies an unusual position in the AI stack: it does not primarily sell a chatbot or a generator, it builds the environments and data that models learn from plus the agents that take over recurring engineering and research work. The homepage claim is direct — frontier AI labs train on Labelbox environments and expert data, while engineering and research teams hand their recurring backlog to agents running on Recursion. A recent Series E of more than $100 million signals a heavily funded bet on that thesis.,For enterprises, the newer half of the product is Recursion. Agents are triggered by real signals — a failing build, a PagerDuty alert, a new dependency release, a fresh model checkpoint, or a Monday morning schedule — and then work in the background until the job is done. The examples the company promotes are concrete deliverables rather than summaries: a tested pull request with a preview link, a postmortem draft in Confluence with every event sourced, an ablation table naming the changes that mattered, or a patch for each exposed service after a critical CVE. A grader agent scores each run, and the graded session leaves behind memories, notes and skills that the next session reads before it acts.,The original foundation remains the data business: labeling, annotation, curation and model evaluation supported by expert human reviewers, used for computer vision, NLP, supervised fine-tuning, RLHF and red teaming. In practice the two halves reinforce each other, since the environments that produce high-quality training data are the same environments where agents learn to do real work. Pricing is enterprise-style, routed through sales conversations and shaped by data volume and agent usage, with no public self-serve tier.

**Pricing & Plans:** Contact for pricing. Labelbox does not publish self-serve plans or public rate cards; its pricing route instead directs interested teams to talk to sales, and cost is shaped by data production scope, agent deployment and enterprise requirements. There is no published free tier. Prospective customers should request a quote based on their volumes and use cases.

- **Data labeling and expert annotation:** Structured annotation, curation, model evaluation and human-in-the-loop review across vision, language and generative tasks, used to build the training and eval data behind production models.
- **Autonomous agent sessions:** Recursion agents start on their own from builds, alerts, commits, checkpoints and schedules, then work in the background until the task is finished and reviewable.
- **Domain specialists by function:** Specialist agents cover software engineering, reliability, security, ML research, evals, R&D, product and finance workflows, from flaky test fixes to postmortem drafts and vulnerability patches.
- **Graded outcomes that compound:** Every agent run is scored by a grader, and graded sessions leave memories, notes and skills that the next session reads before acting, so quality compounds over time.
- **Native tool and data integrations:** Agents operate against the tools teams already use, including GitHub, Jira, Linear, Slack, Datadog, PagerDuty, BigQuery, Databricks, Vercel and cloud providers.

**Strengths:** Covers both sides of the problem: training and eval data production plus agents that act on recurring work; Backed by a recent $100M+ Series E and adoption by frontier AI labs, indicating real funding and demand; Agent runs produce concrete deliverables with proof — tests, reruns, ablations — rather than unverified suggestions; Integrates with the toolchain teams already run: GitHub, Jira, Linear, Slack, Datadog, PagerDuty, BigQuery and Databricks

**Limitations:** No self-serve pricing or open signup: everything routes through a sales conversation, which slows down evaluation; The platform assumes real engineering and research infrastructure (GitHub, cloud providers, data warehouses) to deliver value; Positioning has shifted quickly toward autonomous agent sessions, so teams wanting only labeling workflows may find it heavier than needed

[Profile (Markdown)](https://openaitools.app/tool/labelbox.md)

## Frequently Asked Questions

### How do JetCounter and Labelbox compare in monthly traffic?

JetCounter has 698 monthly visits, while Labelbox has 762,803. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

JetCounter has a month-over-month growth rate of -23.9%; Labelbox has -22.8%.

### How does pricing compare?

JetCounter: Freemium. Freemium. The free tier counts up to 100 items per month from any category with essential app features and limited templates. The Essential Bundle removes limits: daily $1 per device, 1 week $5, 1 month $19, 1 year $199 per device. Labelbox: Contact for Pricing. Contact for pricing. Labelbox does not publish self-serve plans or public rate cards; its pricing route instead directs interested teams to talk to sales, and cost is shaped by data production scope, agent deployment and enterprise requirements. There is no published free tier. Prospective customers should request a quote based on their volumes and use cases.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Roboflow](https://openaitools.app/tool/roboflow) | 1,431,204 | +6.6% | Freemium, Contact for Pricing | Streamlines end-to-end computer vision workflows from annotation to model deployment, but lacks Labelbox's general enterprise agent orchestration. | [.md](https://openaitools.app/tool/roboflow.md) |
| 2 | [Ultralytics](https://openaitools.app/tool/ultralytics) | 793,423 | +8.7% | Freemium | Real-time vision AI models and a full platform to train, annotate, and deploy them | [.md](https://openaitools.app/tool/ultralytics.md) |
| 3 | [Appen](https://openaitools.app/tool/appen-com) | 665,840 | +0.2% | Contact for Pricing | Relies heavily on managed human-in-the-loop workforce services for data validation, offering less self-serve technical tooling than Labelbox. | [.md](https://openaitools.app/tool/appen-com.md) |
| 4 | [Scale](https://openaitools.app/tool/scale) | 616,915 | +12.5% | Contact for Pricing | Delivers enterprise-grade labeling and model evaluation at massive scale, but often requires higher enterprise budgets than Labelbox. | [.md](https://openaitools.app/tool/scale.md) |
| 5 | [Netradyne](https://openaitools.app/tool/netradyne-com) | 470,397 | -5.7% | Contact for Pricing | AI dash cameras and fleet safety intelligence that coach drivers in the moment | [.md](https://openaitools.app/tool/netradyne-com.md) |
| 6 | [Pl@ntNet](https://openaitools.app/tool/plantnet-org) | 439,904 | +34.9% | Free | Identify plants from photos and contribute to biodiversity science | [.md](https://openaitools.app/tool/plantnet-org.md) |
| 7 | [SuperAnnotate](https://openaitools.app/tool/super-annotate) | 386,034 | +37.4% | Free Trial, Contact for Pricing | Offers robust multimodal annotation and workflow automation, featuring slightly more intuitive data curation pipelines for computer vision teams. | [.md](https://openaitools.app/tool/super-annotate.md) |
| 8 | [Weights & Biases (CoreWeave Forge)](https://openaitools.app/tool/prompts) | 315,624 | -80.2% | Freemium, Contact for Pricing, Free | Track, evaluate, and ship AI models and agents in one connected environment. | [.md](https://openaitools.app/tool/prompts.md) |
| 9 | [Encord](https://openaitools.app/tool/encord-com) | 244,204 | +9.4% | Contact for Pricing | Specializes in advanced computer vision and physical AI data pipelines, though with a narrower focus than general text-and-image labeling. | [.md](https://openaitools.app/tool/encord-com.md) |
| 10 | [Frigate NVR](https://openaitools.app/tool/frigate-nvr) | 216,701 | -21.2% | Freemium | Open-source NVR with real-time local AI object detection | [.md](https://openaitools.app/tool/frigate-nvr.md) |

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Source: https://openaitools.app/compare/jetcounter-vs-labelbox

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