# Labelbox vs WAChecker — Bulk WhatsApp Number Checker

Labelbox records 762,803 monthly visits with -22.8% month-over-month growth and Contact for Pricing pricing. WAChecker — Bulk WhatsApp Number Checker records 4,088 monthly visits with +112.6% growth and freemium pricing.

| Metric | [Labelbox](https://openaitools.app/tool/labelbox) | [WAChecker — Bulk WhatsApp Number Checker](https://openaitools.app/tool/wachecker) |
| :--- | :--- | :--- |
| Website URL | https://labelbox.com | https://wachecker.wadesk.io |
| Categories | AI Developer Tools, AI API, AI Workflow, AI Productivity Tools | Other |
| Pricing Model | Contact for Pricing | freemium |
| Monthly Visits | 762,803 | 4,088 |
| MoM Growth Rate | -22.8% | +112.6% |
| Primary Market | United States | India |
| Direct Visits | 370,024 | 1,664 |
| Review Score | 4.4 | 3.8 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## 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)

## WAChecker — Bulk WhatsApp Number Checker

WAChecker is built for anyone who works with large WhatsApp contact lists — marketing teams, sales reps, and agencies — and needs to know which numbers are actually registered before sending messages. Installing the extension and opening WhatsApp Web is enough to start: you paste or import an XLSX list, and the tool paces checks through your own live session rather than through an official API, so no WhatsApp Business API application or approval is involved.

Once a task runs you get a dashboard with per-number statuses, a live progress bar, and running totals for registered, not-found, and pending entries. Duplicate numbers are detected and flagged automatically, and configurable intervals let you keep long runs at a controlled pace. Finished tasks are saved as history, so you can revisit or reuse a list later, and the filtered valid numbers export straight to Excel with fields such as the valid status, original number, and formatted international number — handy for CRM import.

Privacy is the product's other selling point: imported lists and checking results are processed inside the extension and stored in its local storage, never uploaded to a WAChecker server. WAChecker is part of the WADesk family — WADesk is a separate WhatsApp CRM for managing multiple accounts and team follow-ups, and WAExport is a related export tool. The makers state clearly that WAChecker is not affiliated with WhatsApp Inc., and the FAQ is refreshingly honest: no tool can guarantee your account will not be restricted, and a registered number only proves the number exists, not that its owner is a buyer or has opted in.

**Pricing & Plans:** Freemium: new users get 3 days of unlimited checking with no credit card, then a standard free allowance of 50 checks per day. You can unlock extra unlimited days by leaving a 5-star Chrome review (+3 days) or sharing a promo (+1 day, repeatable).

- **Bulk Verification from a List:** Paste numbers one per line or import an XLSX list and check WhatsApp registration status in bulk through your current WhatsApp Web session.
- **Status Filtering & Duplicate Detection:** Sort results into registered, not-found, and pending with one click, and automatically mark duplicate numbers before outreach.
- **Configurable Pacing:** Set checking intervals to run long validation tasks at a controlled speed that fits your workflow.
- **One-Click Excel Export:** Export the filtered valid numbers to Excel, including status, original number, and formatted international number for CRM import.
- **Local, No-API Processing:** Lists, tasks, and results stay in the extension's local storage — nothing is uploaded — and no WhatsApp Business API approval is required.

**Strengths:** No WhatsApp Business API application or approval needed — install and start; Lists and results stay in local extension storage rather than a server; Clear registered / not-found / pending filtering plus automatic duplicate detection; History is saved for every task, so lists can be reused

**Limitations:** Requires Chrome and an active WhatsApp Web session to work; The free tier caps you at 50 checks per day after the 3-day unlimited trial; Checking registration status never guarantees message delivery or that an account won't be restricted; No mobile app, and features depend on the stability of the WhatsApp Web session

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

## Frequently Asked Questions

### How do Labelbox and WAChecker — Bulk WhatsApp Number Checker compare in monthly traffic?

Labelbox has 762,803 monthly visits, while WAChecker — Bulk WhatsApp Number Checker has 4,088. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Labelbox has a month-over-month growth rate of -22.8%; WAChecker — Bulk WhatsApp Number Checker has +112.6%.

### How does pricing compare?

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. WAChecker — Bulk WhatsApp Number Checker: freemium. Freemium: new users get 3 days of unlimited checking with no credit card, then a standard free allowance of 50 checks per day. You can unlock extra unlimited days by leaving a 5-star Chrome review (+3 days) or sharing a promo (+1 day, repeatable).

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [ExportTok](https://openaitools.app/tool/exporttok) | 2,782,229 | +9.2% | Freemium | Pull TikTok comments into CSV or Excel without logging in | [.md](https://openaitools.app/tool/exporttok.md) |
| 2 | [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) |
| 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 | [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) |
| 6 | [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) |
| 7 | [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) |
| 8 | [Defined.ai](https://openaitools.app/tool/definedcrowd-com) | 146,251 | -21% | Contact for Pricing | Enterprise AI training data, annotation and evaluation services | [.md](https://openaitools.app/tool/definedcrowd-com.md) |
| 9 | [Label Studio](https://openaitools.app/tool/label-studio) | 137,199 | -16.1% | Contact for Pricing, Free | Provides a flexible open-source alternative for custom data labeling, but requires self-hosting and manual infrastructure maintenance. | [.md](https://openaitools.app/tool/label-studio.md) |
| 10 | [EchoTik.live](https://openaitools.app/tool/echotik-live) | 97,102 | +6.7% | Freemium | TikTok Shop analytics for products, creators, LIVE commerce and competitors | [.md](https://openaitools.app/tool/echotik-live.md) |

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

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