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Deepengin
Api · 4.1K monthly visits

Deepengin is an all-in-one REST API for developers, providing comprehensive AI-powered image and video moderation. It automatically detects nudity, weapons, hate symbols, and other inappropriate content to ensure platform safety and compliance. It also includes features like OCR, celebrity recognition, and image compression.

VS
Hive
Api · 207.4K monthly visits

Hive provides a comprehensive suite of cloud-based AI models via API for content understanding, generation, and search. It specializes in high-accuracy content moderation (visual, text, audio), AI-generated content detection, and generative AI for images, text, and video. Designed for developers and enterprises, Hive offers scalable, easy-to-integrate solutions for platform safety, brand protection, and contextual advertising.

Deepengin vs Hive: pricing, features, traffic, and use cases

Compare Deepengin and Hive across positioning, pricing, traffic, and user feedback using structured factual data.

Updated Aug 18, 2026

Product overview

Deepengin Product overview

Deepengin is an all-in-one REST API for developers, providing comprehensive AI-powered image and video moderation. It automatically detects nudity, weapons, hate symbols, and other inappropriate content to ensure platform safety and compliance. It also includes features like OCR, celebrity recognition, and image compression.

Preview

Hive Product overview

Hive provides a comprehensive suite of cloud-based AI models via API for content understanding, generation, and search. It specializes in high-accuracy content moderation (visual, text, audio), AI-generated content detection, and generative AI for images, text, and video. Designed for developers and enterprises, Hive offers scalable, easy-to-integrate solutions for platform safety, brand protection, and contextual advertising.

Preview

Detailed feature comparison

FeatureDeepenginHive
Primary categoryApiApi
Added2025-09-202025-08-14
PricingFreemiumFreemium
Official websitedeepengin.comthehive.ai
Product typeWebsiteWebsite
Performance data
User ratingNot verifiedNot verified
Comments00
Monthly visits4.1K207.4K
Monthly growthNot verified-10.4%
Favorites14491
DetailsView detailsView details

Deepengin vs Hive monthly traffic

Compare Deepengin and Hive by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.

How to interpret the traffic data

In the Deepengin vs Hive monthly traffic comparison, Deepengin currently shows 4.1K visits and Hive shows 207.4K; Hive has about 50.4 times the visible traffic of Deepengin, an absolute difference of about 203.3K visits. This reflects visible reach, not feature quality or paid users.

Only Hive has complete third-party traffic details; Deepengin uses visits recorded inside ToolMage. These scopes cannot estimate market share directly, and on-site views should not be treated as the product’s total website traffic.

Deepengin monthly traffic:

Latest traffic

Monthly visits
4.1K

Hive monthly traffic:

Latest traffic

Monthly visits
207.4K
Avg. visit duration
1:07
Pages per visit
3.05
Bounce rate
43.2%
Data updated 2026-06-15

Monthly traffic trend

  • 2025/9: 125.4K Monthly visits
  • 2026/1: 154.6K Monthly visits
  • 2026/2: 171K Monthly visits
  • 2026/3: 232.3K Monthly visits
  • 2026/4: 231.3K Monthly visits
  • 2026/5: 207.4K Monthly visits

Top regions

Top 5 countries/regions
Country/regionPercentageTraffic
🇺🇸United States58.51%121.3K
🇮🇳India21.86%45.3K
🇨🇴Colombia6.56%13.6K
🇩🇪Germany6.56%13.6K
🇮🇩Indonesia6.51%13.5K

Traffic sources

Source typePercentageTraffic
Direct85.36%177K
Referral14.52%30.1K
Email0.12%249

Search keywords

ai image detectorhivehive aihive ai detectorhive moderation
Traffic-based selection guidance: The current traffic scope is not sufficient for a reliable product ranking. Treat monthly visits as a market-interest signal, then decide using taxonomy, use cases, pricing, and a like-for-like trial rather than reading exposure as product capability.

Usage comparison

Compare the core capabilities of Deepengin and Hive

Deepengin Core features

Api
Content Moderation
Automation

Hive Core features

Api
Content Moderation
Advertising
Content Generation

Use cases

Deepengin Use cases

content moderation
image recognition
OCR
video analysis
AI safety
API
developer tool
facial recognition
nudity detection
rest api
UGC moderation

Hive Use cases

content moderation
image recognition
OCR
video analysis
ai api
brand safety
CSAM detection
deepfake detection
developer tools
generative AI
machine learning
text analysis

Best suited roles

Deepengin Best suited roles

Community Manager
DevOps Engineer
IT Manager
Product Manager
Social Media Manager
Software Developer

Hive Best suited roles

No verified data available

Deepengin vs Hive:In-depth comparison and selection guidance

First decide whether the products solve the same kind of need

This in-depth Deepengin vs Hive comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. Deepengin is primarily listed under “Api”, while Hive is primarily listed under “Api”, so the first decision is whether your actual task matches their recorded scope.

The structured fields currently show these decision-relevant differences: Monthly visits (Deepengin: 4.1K; Hive: 207.4K); Favorites (Deepengin: 144; Hive: 91); Website (Deepengin: deepengin.com; Hive: thehive.ai); Added (Deepengin: 2025-09-20; Hive: 2025-08-14). These facts are more useful for selection than brand visibility alone.

What market visibility and monthly traffic mean

In the Deepengin vs Hive monthly traffic comparison, Deepengin currently shows 4.1K visits and Hive shows 207.4K; Hive has about 50.4 times the visible traffic of Deepengin, an absolute difference of about 203.3K visits. This reflects visible reach, not feature quality or paid users.

Only Hive has complete third-party traffic details; Deepengin uses visits recorded inside ToolMage. These scopes cannot estimate market share directly, and on-site views should not be treated as the product’s total website traffic.

The current traffic scope is not sufficient for a reliable product ranking. Treat monthly visits as a market-interest signal, then decide using taxonomy, use cases, pricing, and a like-for-like trial rather than reading exposure as product capability.

Product positioning, use cases, and roles

Deepengin and Hive currently overlap in shared categories: Api and Content Moderation; shared tags: content moderation, image recognition, OCR, and video analysis. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.

Deepengin's unique categories/tags are Automation, AI safety, API, developer tool, facial recognition, nudity detection, rest api, and UGC moderation; Hive's are Advertising, Content Generation, ai api, brand safety, CSAM detection, deepfake detection, developer tools, and generative AI. These unique fields are the strongest differentiators: validate the product whose recorded scope matches the task instead of following traffic alone.

What ratings, comments, and favorites can tell you

Deepengin has no verified rating, 0 comments, 144 favorites, and 131 likes;Hive has no verified rating, 0 comments, 91 favorites, and 88 likes。

Neither product has enough rating or comment samples for a credible reputation ranking.

Selection guidance by actual need

When to evaluate Deepengin first

Put Deepengin on the priority trial list when the task aligns with “Api” and especially Automation, AI safety, API, developer tool, facial recognition, and nudity detection, or the users include Community Manager, DevOps Engineer, IT Manager, and Product Manager. This follows recorded positioning and does not imply unlisted capabilities are absent.

Deepengin also currently records: pricing is freemium, product type is website, 4.1K on-site monthly views, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.

When to evaluate Hive first

Put Hive on the priority trial list when the task aligns with “Api” and especially Advertising, Content Generation, ai api, brand safety, CSAM detection, and deepfake detection. This follows recorded positioning and does not imply unlisted capabilities are absent.

Hive also currently records: pricing is freemium, product type is website, 207.4K verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.

How to validate the recommendation before deciding

The available data describes positioning, public visibility, and community signals, but it cannot prove output quality, speed, integration effort, privacy, or long-term cost in your workflow. Before deciding, run the same representative tasks in Deepengin and Hive, then record completion time, accuracy, manual corrections, and the real paid threshold. A like-for-like trial turns this comparison into a defensible adoption decision.

Comparison FAQ

How should I choose between Deepengin and Hive?
Compare positioning, pricing, taxonomy, and traffic maturity, then verify the latest details on each official website.
Where does this comparison data come from?
The factual baseline is derived from product, taxonomy, traffic, and community data. Reviewed editorial conclusions show their source and verification date.
What do unknown fields mean?
Unknown means there is not enough reliable evidence; the page does not fill gaps with assumptions.

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