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DeepCleer vs Checkstep: Top 10 Advantages for Content Moderation

For enterprises managing user-generated content (UGC) at scale—whether in social platforms, marketplaces, livestreaming, or global digital communities—advanced content moderation is not just a technical concern: it’s a business-essential capability. Accuracy, speed, compliance with fast-evolving regulations, and flexibility across languages and formats distinguish best-in-class platforms. DeepCleer and Checkstep both position themselves as modern, AI-driven solutions for multi-modal, global moderation needs. This in-depth, data-backed comparison breaks down their Top 10 Advantage Areas to guide enterprise buyers toward the right decision.
DeepCleer
Product Positioning:
A comprehensive, full-stack AI content safety solution powered by the technology of DeepCleer Technology, focusing on risk prevention in complex multi-industry scenarios. DeepCleer offers multi-modal content moderation and business risk management, covering text, images, audio, video, and live audio-video streams. Its core strength lies in utilizing big data and machine learning to achieve precise identification and real-time risk evaluation, providing support for platform operations and risk control.
Core Capabilities:
- Technology & Multi-modal Coverage:
- DeepCleer integrates big data analytics, machine learning, NLP, GANs, and other deep learning models to build a composite detection system. It covers all modes of content moderation, with over 400 image tags, 1000+ text subcategories, audio features like implicit noise detection, and video moderation that supports both real-time classification and batch processing.
- Detection Performance:
- With an accuracy rate over 99% for risk assessment, image tag accuracy exceeding 95%, and recall rate above 85%, DeepCleer covers more than 300 subcategories, encompassing 99.99% of risk scenarios. Its processing latency is under 500ms (with some cases as low as 60ms), supporting multiple processing methods and format compatibility.
- Industry & Scenario Adaptability:
- Serving over 20 industries with 10+ years of experience, DeepCleer provides customized content moderation solutions, including knowledge graph and other auxiliary tools. Its weekly data iterations exceed 5 million, with T+7 deployments and global multi-cluster setups ensuring 99.9% availability and supporting heterogeneous computing environments.
Core Advantages:
DeepCleer sets the benchmark for "technological maturity" and "industry adaptability" in the AI content safety field with its full-stack technology, multi-scenario support, and real-time response, offering comprehensive risk control for complex business environments.
Checkstep
Product Positioning:
Launched in 2020, Checkstep is an emerging player in content moderation, positioning itself as a “lightweight AI + human-assisted moderation tool.” It offers an AI-driven automated content moderation SaaS platform, providing a fully managed, one-stop service. The core focus is on enhancing the safety and trust workflows of online communities through an AI-first approach, primarily serving small to mid-sized platforms and contrasting with DeepCleer as an emerging player versus a mature solution provider.
Core Capabilities:
- Multi-modal & Multi-language Support:
- Checkstep processes user-generated content in text, images, audio, and video across 100+ languages, detecting harmful types like hate speech and other online risks.
- AI-Driven Capabilities:
- It uses custom AI classifiers to learn moderators' decision-making, integrating internal and external signal libraries to ensure content quality. The platform combines automated pre-moderation with human validation, boosting efficiency and supporting large team collaboration.
- Compliance & Transparency:
- Checkstep follows digital regulation changes by offering transparent reporting and compliance support, including DSA and other local regulations, ensuring full adherence to service terms and compliance.
- Data Management:
- Checkstep commits to EU-based data hosting and data deletion post-moderation, offering SOC 2 certifications. It also supports user reporting and integrates technologies from partners like OpenAI.
Product Function Comparison
Core Functionality Coverage
- DeepCleer:
- Focused on “full-modal + detailed subcategories,” DeepCleer covers text, images, audio, video, and live audio-video stream moderation with 1000+ subcategories. It supports AIGC (AI-generated content) safety identification and real-time streaming moderation (e.g., live broadcast background detection), excelling in deep functionality for complex scenarios.
- Checkstep:
- While Checkstep covers basic content types, its focus is on automated workflow, team collaboration, and compliance reporting (e.g., DSA). It does not emphasize subcategory detail or real-time streaming capabilities.
Summary:
DeepCleer excels in functionality coverage, subcategory depth, and real-time processing capabilities, while Checkstep specializes in basic workflow automation and compliance reporting, with limited complexity and scenario adaptability.
Feature | DeepCleer | Checkstep | Difference |
---|
Content Moderation Modes | Text, Image, Audio, Video, Live Stream | Text, Image, Audio, Video | Both support basic content types; DeepCleer supports real-time streaming. |
Advanced Capabilities | 1000+ Subcategories, Multi-modal Risk Control, AIGC Safety Identification | None (not specified) | DeepCleer leads in subcategory depth and multi-modal risk prevention. |
Automation & Workflow | Limited Automation | Automated Workflow & Team Collaboration | Checkstep focuses on automated workflow and collaboration tools. |
Technical Performance | 99%+ accuracy, 60ms latency | No performance data disclosed | DeepCleer provides detailed performance metrics, Checkstep lacks specifics. |
Technology & Innovation
- DeepCleer:
- Built around a fully self-developed, end-to-end solution, DeepCleer employs cutting-edge models like GAN and LSTM, offering deep integration of fasttext, NLP algorithms, and heterogeneous computing. It supports real-time streaming computation and rapid model updates in seconds, forming a "data-model-scenario" loop that ensures technical autonomy and global service capabilities.
- Checkstep:
- Checkstep relies on external technologies, emphasizing tool development at the application layer. Its AI-driven platform uses custom classifiers for decision-making, with scalability through BPO (Business Process Outsourcing) partnerships, but lacks the transparency of self-developed core models.
Performance Metrics:
- DeepCleer:
- Achieves an accuracy rate over 99.99%, with latency as low as 60ms. Its weekly data iterations exceed 5 million, with T+7 deployments and incremental updates every hour.
- Checkstep:
- No clear performance metrics, only vague references to harmful content removal time ("<1 second"), with no disclosed model iteration cycle or optimization details.
Industry Fit & Depth of Solution
- DeepCleer:
- Covers over 20 industries, including financial services, and provides deep customization for complex scenarios like AIGC safety and minor protection. Risk scenario coverage reaches 99.99%.
- Checkstep:
- Primarily focused on online community content moderation, Checkstep specializes in basic compliance (e.g., DSA) and community workflow optimization. Its industry focus is limited.
Client Cases & Market Validation
- DeepCleer:
- Serves 3000+ clients, including industry leaders such as Spicychat.ai, SHEIN, and DIOR (China), demonstrating strong reliability in highly regulated environments. It has protected 12.1 billion global accounts and intercepted 18.8 billion risk events, showcasing high concurrency handling.
- Checkstep:
- Focuses on mid-sized online communities, with clients like Trustpilot and WeTransfer. Revenue for 2021-2023 was modest ($2.4 million), and the company is still in a growth phase, lacking large-scale enterprise cases.
Summary & Recommendations
Key Differences:
- Technology & Coverage:
- DeepCleer offers advanced, self-developed AI capabilities, covering a wide range of content types, with deep risk categorization and real-time streaming moderation. Checkstep focuses on streamlined workflows and basic content safety, relying more on external tech.
- Scale & Industry Adaptability:
- DeepCleer’s solution is suited for large-scale, complex industries with high-performance needs, such as AIGC, gaming, and live streaming. Checkstep is more appropriate for smaller, compliance-driven platforms focusing on European markets.
Recommendation:
- Choose DeepCleer for complex industries (e.g., AIGC, gaming, live streaming) requiring high-performance, full-stack moderation with deep customization.
- Choose Checkstep for smaller-scale European social media platforms needing a focus on automated workflows and compliance (e.g., DSA), but with a need for further evaluation regarding scalability and feature depth.
Conclusion:
DeepCleer stands out in complex, multi-industry content safety with its full-stack solution, while Checkstep is suitable for smaller platforms focused on compliance and automation. For high-demand, global scenarios, DeepCleer offers the best solution.