Software Alternatives, Accelerators & Startups

HideFaces App VS Emisar.dev

Compare HideFaces App VS Emisar.dev and see what are their differences

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HideFaces App logo HideFaces App

Automatically hide faces in videos with AI

Emisar.dev logo Emisar.dev

One governed MCP server connects any AI agent to a finite action catalog, enforced on-host with pack trust, policy gates, human approvals, and a hash-chained audit trail.
  • HideFaces App Landing page
    Landing page //
    2021-03-12
  • Emisar.dev Approvals
    Approvals //
    2026-07-21
  • Emisar.dev Audit Log
    Audit Log //
    2026-07-21
  • Emisar.dev Policies
    Policies //
    2026-07-21
  • Emisar.dev Runner fleet
    Runner fleet //
    2026-07-21

Emisar is the last MCP server youโ€™ll need to install: a Zero-Trust gateway connecting Claude, Cursor, ChatGPT, and any AI agent to your infrastructure. One server handles production access, debugging, alerts, and internal operations, with new capabilities added as packs. Agents can inspect real production state, debug what they shipped, and help resolve incidents. Safe reads run automatically; policy allows, blocks, or routes risky actions for approval. No SSH keys, VPNs, remote shells, or standing shell access โ€” and every call is recorded.

Emisar.dev

Website
emisar.dev
$ Details
freemium $20.0 / Monthly (per runner)
Startup details
Country
United States
State
CA
Founder(s)
Andrew Dryga
Employees
1 - 9

HideFaces App features and specs

  • Privacy Protection
    HideFaces helps protect the privacy of individuals by automatically blurring faces in photos, ensuring that personal identities are not easily discernible.
  • User Friendly
    The app features a simple and intuitive interface, making it easy for users of all technical skill levels to quickly blur faces in their photos.
  • Automation
    The app automatically detects and blurs faces, saving users time and effort compared to doing it manually in photo editing software.
  • Customization Options
    HideFaces allows users to adjust the level of blur and manually select or deselect faces for blurring, providing flexibility based on user needs.
  • Cloud Services
    The app supports cloud-based processing, enabling users to blur faces without using local device resources significantly, which could be beneficial for devices with limited processing power.

Possible disadvantages of HideFaces App

  • Limited Free Features
    The app might offer limited functionality in its free version, with more comprehensive features available only through a paid subscription or one-time purchase.
  • Dependence on Internet Connection
    To utilize cloud-based services fully, a stable internet connection is required, which might not be ideal for users in areas with limited connectivity.
  • Potential for Errors
    Automatic face detection algorithms might miss faces or incorrectly blur non-face areas, requiring manual correction or oversight by the user.
  • Privacy Concerns with Cloud Processing
    Some users might have concerns about privacy and data security when photos are processed in the cloud, despite measures in place to protect data.
  • Performance on Complex Images
    For images with a large number of faces or complex backgrounds, the app might struggle to accurately detect and blur faces without user intervention.

Emisar.dev features and specs

No features have been listed yet.

Category Popularity

0-100% (relative to HideFaces App and Emisar.dev)
Social Media Tools
100 100%
0% 0
Infrastructure Monitoring
Parenting
100 100%
0% 0
Infrastructure Management

Questions & Answers

As answered by people managing HideFaces App and Emisar.dev.

How would you describe the primary audience of your product?

Emisar.dev's answer:

emisar is for SRE, DevOps, platform engineering, infrastructure, and security teams that want AI agents to inspect and operate production systems. It is especially relevant to teams managing multiple Linux hosts, clusters, databases, cloud services, or regulated environments where unrestricted shell access and incomplete audit records are unacceptable.

Which are the primary technologies used for building your product?

Emisar.dev's answer:

The hosted control plane and operator interface use Elixir, Phoenix, LiveView, PostgreSQL, and Tailwind CSS. The host runner and MCP bridge are written in Go. Action packs use YAML and JSON Schema, while production infrastructure is managed with Terraform on Google Cloud. The system communicates through MCP, OAuth 2.1, TLS, and WebSockets.

Who are some of the biggest customers of your product?

Emisar.dev's answer:

  • Blitz.gg - game analytics for billions of matches and a pretty large infrastructure.

What's the story behind your product?

Emisar.dev's answer:

Founder Andrii Dryga spent a decade working as a CTO, full-stack engineer, SRE, and DevOps engineer. He experienced the cost of running the wrong command on the wrong cluster, while also seeing AI solve operational problems in seconds. emisar grew from the need to preserve both truths: AI agents are useful, and production access must remain bounded. Its answer is to give agents a reviewed catalog of operations instead of a blank terminal.

What makes your product unique?

Emisar.dev's answer:

emisar lets AI agents work on real infrastructure without giving them a shell. Agents choose from a finite catalog of typed, versioned actions. Policy decides what runs, what requires approval, and what is denied, while an outbound-only runner verifies the action again on the host. New capabilities arrive as packs behind the same MCP integration, and every request is recorded in both a searchable audit trail and a tamper-evident host journal. [

Why should a person choose your product over its competitors?

Emisar.dev's answer:

Choose emisar when you want an agent to keep investigating and handling routine operations without handing it SSH credentials or supervising every call. Compared with raw shell access, copy-paste workflows, or one-off MCP servers, emisar provides reviewed action contracts, host-level enforcement, risk-based policy, scoped access, approvals, pack integrity checks, and a durable audit trail. It is built specifically for governed infrastructure access rather than generic automation.

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What are some alternatives?

When comparing HideFaces App and Emisar.dev, you can also consider the following products

Blurweb App - Secure sensitive info while screen share recording or live

AutoMask - In-browser AI imaging tool to anonymize people in pictures.

Redacted - Easily blur/pixelate/black out parts of an image

Blackout - Blackout enables the easiest, fastest, and most comprehensive redaction workflows for sensitive information managed in Relativity. Only Blackout automatically redacts native PDF, image jobs, and native Excel files.

Blurry - Blur sensitive information while video recording

Playground AI - Stable diffusion level generation with 1000 free pics a day