# Emotion AI solutions that process multiple formats including text, images, video, and audio for comprehensive analysis

<p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">I'm researching Emotion AI platforms that handle genuinely multimodal input — not just one data type with the others bolted on — for teams that need one comprehensive analysis rather than stitching together separate tools per format. Looking at the <a class="a a--md" elv="true" href="https://www.g2.com/categories/emotion-ai">Emotion AI category</a>, <strong>Opsis Emotion AI</strong>, <strong>Decode</strong>, and <strong>Clarifai</strong> stand out for breadth of format support.</p><ol>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/opsis-emotion-ai/reviews"><strong>Opsis Emotion AI</strong></a> (4.7/5, 3 reviews) — Explicitly built for multimodal facial, speech, text, and posture input with psychological annotation, positioned to classify emotion for individuals or large groups from whichever signal is available.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/entropik-decode/reviews"><strong>Decode</strong></a> (4.5/5, 48 reviews) — Combines Emotion AI, Behavior AI, and Generative AI across consumer surveys, diary studies, UX testing, and creative analytics — spanning text, video, and behavioral signal in one platform.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/clarifai/reviews"><strong>Clarifai</strong></a> (4.3/5, 74 reviews) — Broader AI orchestration platform with strong image and video recognition capabilities alongside LLM and RAG support, useful when emotion detection needs to sit inside a larger multimodal pipeline.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/facereader-online/reviews"><strong>FaceReader Online</strong></a> (4.3/5, 10 reviews) — Integrates facial coding with webcam eye tracking, combining two signal types (visual expression + attention) in one session.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/echodepth/reviews"><strong>EchoDepth</strong></a> (4.8/5, 6 reviews) — Primarily video-based (facial Action Units), less multi-format than the others on this list, but worth including for the depth of its single-modality analysis.</li>
</ol><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">For teams running true multimodal analysis: does combining formats actually change the conclusions you'd draw, or does one signal (usually facial/video) end up dominating the read regardless?</p>

##### Post Metadata
- Posted at: about 2 months ago
- Net upvotes: 1


## Comments
### Comment 1

Great list. For me the real value of multimodal is when the signals disagree, like someone saying something positive while their tone or face says otherwise. I&#39;d want to know which of these tools surface that mismatch instead of averaging it away

##### Comment Metadata
- Posted at: about 1 month ago
- Author title: AI Principal Analyst | AI Market Strategy + Buyer Intelligence | Defining Emerging AI Markets





## Related discussions
- [How well does Trello scale into a larger team?](https://www.g2.com/discussions/1-how-well-does-trello-scale-into-a-larger-team)
  - Posted at: over 13 years ago
  - Comments: 6
- [Can we please add a new section](https://www.g2.com/discussions/2-can-we-please-add-a-new-section)
  - Posted at: over 13 years ago
  - Comments: 0
- [Quantifiable benefits from implementing your CRM](https://www.g2.com/discussions/quantifiable-benefits-from-implementing-your-crm)
  - Posted at: over 13 years ago
  - Comments: 4