--- title: "Image Recognition — AVCodex Docs" description: "Image Recognition — AVCodex documentation for AV integrators, programmers, and ops teams." lang: en json-ld: --- [](/) Solutions [Pricing](/pricing)[The Signal](/blog)[Resources](/resources) Learn [Free AI Assessment](/scorecard)[Get Started →](/pricing) [Documentation Home](/docs) Guides Getting Started - [The Alchemist Copilot](/docs/guides/the-alchemist-copilot) - [Choosing a Model](/docs/guides/choosing-a-model) - [Skills & Templates](/docs/guides/skills-and-templates) - [Pricing & Usage](/docs/guides/pricing-and-usage) - [Understanding Tokens](/docs/guides/understanding-tokens) - [Maximize AVCodex Capabilities](/docs/guides/maximize-avcodex-capabilities) Knowledge & Memory - [How Knowledge Sources Work](/docs/guides/how-knowledge-sources-work) - [Knowledge Retrieval Settings](/docs/guides/knowledge-retrieval-settings) - [User Memory](/docs/guides/user-memory) - [Consumer Brain](/docs/guides/consumer-brain) Agent Capabilities - [Image Recognition](/docs/guides/image-recognition) - [Image Generation](/docs/guides/image-generation) - [Video Generation](/docs/guides/video-generation) - [Deep Research and Deep Thinking](/docs/guides/deep-research-and-deep-thinking) - [Heartbeat (Proactive AI Outreach)](/docs/guides/heartbeat-proactive-ai-outreach) - [Database Connections](/docs/guides/database-connections) - [Agent-to-Agent Links](/docs/guides/agent-to-agent-links) - [Message Tagging](/docs/guides/message-tagging) - [Lead Generation Forms](/docs/guides/lead-generation-forms) - [Multilingual Apps](/docs/guides/multilingual-apps) - [Understanding Evaluations](/docs/guides/understanding-evaluations) Design & Experience - [Style Studio](/docs/guides/style-studio) - [Component Studio](/docs/guides/component-studio) - [HQ Profile](/docs/guides/hq-profile) - [Multiplayer Chat](/docs/guides/multiplayer-chat) - [Circles](/docs/guides/circles) - [Desktop Agent](/docs/guides/desktop-agent) Voice & Phone - [Phone Numbers](/docs/guides/phone-numbers) - [Outbound Calling](/docs/guides/outbound-calling) - [Voice Cloning](/docs/guides/voice-cloning) Publish & Share - [Embed Chat Widget](/docs/guides/embed-chat-widget) - [Custom Domains](/docs/guides/custom-domains) - [PWA Installation](/docs/guides/pwa-installation) - [AVCodex Sites](/docs/guides/avcodex-sites) - [Embed on Kajabi](/docs/guides/embed-on-kajabi) - [How to Use AVCodex with Claude Code](/docs/guides/how-to-use-avcodex-with-claude-code) Monetization & Access - [Selling Access](/docs/guides/selling-access) - [Consumer Monetization](/docs/guides/consumer-monetization) - [Access Control](/docs/guides/access-control) - [Bring Your Own Auth](/docs/guides/bring-your-own-auth) - [Clever SSO for Schools](/docs/guides/clever-sso-for-schools) Analytics & Operations - [Analytics & Chat History](/docs/guides/analytics-and-chat-history) - [Performance Dashboard](/docs/guides/performance-dashboard) - [Programmatic Usage Stats](/docs/guides/programmatic-usage-stats) - [Session Lifecycle Webhooks](/docs/guides/session-lifecycle-webhooks) - [Audit Logs](/docs/guides/audit-logs) Teams & White-Label - [Team Management](/docs/guides/team-management) - [Enterprise Whitelabel](/docs/guides/enterprise-whitelabel) Alchemist Platform - [Alchemist Tickets](/docs/guides/alchemist-tickets) - [Alchemist Getting Started](/docs/guides/alchemist-getting-started) - [Alchemist Working with Tickets](/docs/guides/alchemist-working-with-tickets) - [Alchemist Local Development](/docs/guides/alchemist-local-development) Alchemist Operations - [Alchemist Environment Variables](/docs/guides/alchemist-environment-variables) - [Alchemist Deploys and Domains](/docs/guides/alchemist-deploys-and-domains) - [Alchemist Self-Healing](/docs/guides/alchemist-self-healing) Alchemist API & Automation - [Alchemist API Keys](/docs/guides/alchemist-api-keys) - [Alchemist MCP Server](/docs/guides/alchemist-mcp-server) - [Alchemist Pipeline Configuration](/docs/guides/alchemist-pipeline-configuration) - [Alchemist Pipeline Permutations](/docs/guides/alchemist-pipeline-permutations) Developer Platform - [Building Custom MCP Servers](/docs/guides/building-custom-mcp-servers) - [Consumer OAuth for Custom MCP Servers](/docs/guides/consumer-oauth-for-custom-mcp-servers) AVCodex MCP Server - [Overview](/docs/guides/overview) - [MCP Reference](/docs/guides/mcp-reference) - [Setup & Installation](/docs/guides/setup-and-installation) - [Authentication](/docs/guides/authentication) - [Tools Reference](/docs/guides/tools-reference) - [Common Workflows](/docs/guides/common-workflows) - [Rate Limits](/docs/guides/rate-limits) Custom Actions Pro Actions API Builder API Agentic Commerce (ACP) Integrations [Docs](/docs)/ Guides / Agent Capabilities # Image Recognition Last updated · MAR 2026 · [Read as Markdown](/docs/guides/image-recognition.md) Your AVCodex agent can analyze images uploaded by users. This guide explains how image recognition works and how to dial it in for AV work. ## [How it works# ](#how-it-works) When a user uploads an image, AVCodex processes it in one of two ways depending on the agent's model. ### [Vision-capable models (recommended)# ](#vision-capable-models-recommended) Models with native vision see images directly, the way a person would. The image is embedded in the conversation and the model can reference it naturally. **Vision-capable models:** Provider Models OpenAI GPT-5, GPT-5 Mini, GPT-5 Nano, GPT-4.1, GPT-4.1 Mini, GPT-4.1 Nano Anthropic Claude Opus 4.1, Claude Opus 4, Claude Sonnet 4.5, Claude Sonnet 4, Claude 3.7 Sonnet, Claude 3.5 Haiku Google Gemini 2.5 Pro, Gemini 2.5 Flash, Gemini 2.5 Flash Lite, Gemini 2.0 Flash, Gemini 2.0 Flash Lite **Models WITHOUT vision:** - OpenAI o-series (o1, o1 Pro, o3, o3 Pro, o3-mini, o4 Mini). ### [Non-vision models (fallback)# ](#non-vision-models-fallback) For models without native vision (the o-series reasoning models), AVCodex uses a separate image analysis tool powered by OpenAI's GPT-5 to describe the image, then passes that description to your agent's model. That two-step process can lose context compared to native vision models. For most AV use cases (a tech pointing a phone camera at a screen full of small text and tiny LEDs), native vision is the better path. ## [Getting the best results# ](#getting-the-best-results) ### [1\. Pick the right model# ](#1-pick-the-right-model) For agents that lean on image analysis (rack photos, error code screens, drawings, label reading), pick a vision-capable model. 1. Open your agent in the AVCodex dashboard. 2. Go to **Build** > **Configure**. 3. Under **Model**, choose a vision-capable model like GPT-5 or Claude Sonnet 4. ### [2\. Enable image recognition# ](#2-enable-image-recognition) Make sure the capability is on: 1. Go to **Build** > **Actions**. 2. Find **Image Recognition** in the Basic Actions list. 3. Toggle it **ON**. ### [3\. Image quality tips# ](#3-image-quality-tips) For best recognition accuracy: - **Resolution**: higher-resolution images produce better results. A clear shot of a touch panel beats a tiny crop. - **Lighting**: well-lit images are easier to analyze. Closet lighting can be rough on a phone camera, so flashlight on if needed. - **Focus**: keep the subject in focus. Blurry SIMPL error text is hard for any model. - **Format**: JPEG, PNG, and WebP are all supported. ### [4\. Prompting for analysis# ](#4-prompting-for-analysis) Guide users to be specific about what they want analyzed. **Good prompts:** - "What error code is shown on this DM-NVX touch panel?" - "Identify the model and serial of this Crestron rack-mount unit." - "Read the text on this Q-SYS Designer fault dialog." - "What signals are flowing into the DSP in this drawing?" **Vague prompts:** - "What is this?" - "Tell me about the image." ## [Comparing to ChatGPT# ](#comparing-to-chatgpt) If you notice differences between your AVCodex agent and ChatGPT's native image analysis: 1. **Model selection**: ChatGPT uses GPT-5 by default. Make sure your AVCodex agent uses GPT-5 or a comparable vision model like Claude Sonnet 4. 2. **System prompt**: your agent's role and instructions affect how it interprets images. ChatGPT has different defaults. 3. **Context window**: ChatGPT handles conversation context differently. For complex multi-image analysis (multiple rack angles, multi-page drawings), results can vary. ## [Troubleshooting# ](#troubleshooting) ### [Images not being analyzed# ](#images-not-being-analyzed) - Verify **Image Recognition** is enabled in the agent's Actions. - Check that the user is uploading supported formats (JPEG, PNG, WebP, GIF). - Make sure images are from supported sources (direct uploads, not every external URL). ### [Poor accuracy# ](#poor-accuracy) - Switch to a vision-capable model (GPT-5, Claude Sonnet 4, etc.). - Ask users to provide clearer, higher-resolution images. Encourage close-ups for label and serial reads. - Add specific instructions in your system prompt about how to analyze images (e.g., "When a user sends a rack photo, identify each device, manufacturer, and rack unit position from top to bottom."). ### [Slow response times# ](#slow-response-times) Image analysis typically takes 5 to 15 seconds depending on complexity. For faster responses: - Use smaller image files when possible. - Consider GPT-5 Nano or Claude 3.5 Haiku for the speed-vs-accuracy trade-off. ## [Model comparison for vision# ](#model-comparison-for-vision) Model Vision quality Speed Best for GPT-5 Excellent Medium Complex reasoning about drawings, signal flow, multi-element rack photos. Claude Sonnet 4.5 Excellent Fast Detailed visual descriptions of racks and labeled gear. Gemini 2.5 Pro Excellent Medium Multi-image comparisons, long context (multi-page drawings). GPT-5 Mini Very good Fast Balanced performance for routine field photos. GPT-5 Nano Good Very fast Quick, simple analysis (a touch panel error code lookup). Claude 3.5 Haiku Good Very fast Fast responses for high-volume room support agents. Gemini 2.5 Flash Very good Fast Balanced speed and quality. \*AVCodex · Your AV expertise. Amplified by AI.\* Was this helpful? [Edit this page →](#) [ Previous Consumer Brain ](/docs/guides/consumer-brain)[ Next Image Generation ](/docs/guides/image-generation) On this page - [How it works](#how-it-works) - [Vision-capable models (recommended)](#vision-capable-models-recommended) - [Non-vision models (fallback)](#non-vision-models-fallback) - [Getting the best results](#getting-the-best-results) - [1\. Pick the right model](#1-pick-the-right-model) - [2\. Enable image recognition](#2-enable-image-recognition) - [3\. Image quality tips](#3-image-quality-tips) - [4\. Prompting for analysis](#4-prompting-for-analysis) - [Comparing to ChatGPT](#comparing-to-chatgpt) - [Troubleshooting](#troubleshooting) - [Images not being analyzed](#images-not-being-analyzed) - [Poor accuracy](#poor-accuracy) - [Slow response times](#slow-response-times) - [Model comparison for vision](#model-comparison-for-vision) [](/) The AI platform built exclusively for professional AV. Build, deploy, and sell AI tools that understand your industry. ### Platform - What You Can Build - Templates - [Pricing](/pricing) ### Services - [Done-For-You](/pricing) - [Academy](/academy) - [Contact](/contact) ### Company - About - [The Signal](/blog) - [Docs](/docs) - [LinkedIn](#) © 2026 AVCodex. A Future Ready Holdings Inc. product. SOC 2 Type II Certified · HIPAA Compliant