AI Video Intelligence Tools 2026: 7 Platforms Compared

1. Oriane

Oriane is an AI video search engine built specifically for brand monitoring across social video platforms. It uses multimodal AI to search millions of videos by brand name, product appearance, faces, audio mentions, and contextual relevance. The platform launched in beta with luxury brands like Dior, Hennessy, and Estee Lauder, and raised $2M in funding led by Antler US. Public launch is March 31, 2026.

Type: Cloud-based enterprise platform
Price: Contact for pricing (enterprise focus)
Primary use case: Brand monitoring, influencer tracking, social listening

Oriane fills a gap that text-based monitoring tools can’t touch. When a product appears in a TikTok video but isn’t mentioned by name, traditional tools miss it. Oriane’s visual AI identifies the product anyway. It also detects faces, so brands can track which influencers are featuring their products organically versus through paid partnerships.

The platform is built for brand teams and agencies managing large-scale social presence. If you need to know every time your product appears in a video across TikTok, Instagram, and YouTube, this is the tool designed for that job.

Pros: Multimodal search (visual + audio), face and product detection, built for social video at scale, backed by credible investors

Cons: Enterprise pricing (no transparent public pricing), launching March 31 so still very new, requires integration and setup

2. ScreenApp

ScreenApp is a video intelligence platform focused on transcription, summarization, and searchable video analysis. It transcribes uploaded videos or live recordings with speaker labels, timestamps, and AI-generated summaries. The platform also includes screen recording, meeting notes, and tools for turning videos into documents or searchable knowledge bases.

Type: Cloud-based platform
Price: Free (3 videos) | $19/mo annual | $25/mo monthly
Primary use case: Transcription, meeting analysis, video documentation

We tested ScreenApp with a 45-minute product demo that had three speakers and moderate background noise. Transcription accuracy hit 96%, and it correctly separated all three speakers. The AI summary pulled out the key points in under 30 seconds. You can search the full transcript, jump to timestamps, and export to multiple formats (SRT, TXT, DOCX, PDF).

The platform works well for teams that record a lot of meetings, interviews, or training sessions and need those videos searchable and summarizable. The free tier gives you 3 videos to test it, which is enough to see if it fits your workflow.

Transparency note: We built ScreenApp as a video intelligence platform. We included it here because it genuinely fits the video analysis and transcription use case, but take our rating with that in mind and try the other tools too.

Pros: High transcription accuracy, speaker identification, AI summaries, affordable pricing, generous free tier

Cons: Less focused on brand monitoring or social video at scale, primarily built for meeting/interview use cases

3. Pictory

Pictory specializes in turning long-form video into short, shareable clips for social media. It uses AI to identify highlights, add auto-captions, and repurpose content quickly. Pictory is popular with content creators, marketers, and agencies that need to extract value from webinars, podcasts, or long videos.

Type: Cloud-based platform
Price: $19/mo (Standard) | $39/mo (Premium) | $47/mo (Teams)
Primary use case: Content repurposing, highlight reels, auto-captions

Pictory analyzes long videos and automatically suggests the most engaging moments based on energy, pacing, and keyword relevance. You can tweak the AI suggestions or let it run fully automated. The auto-captioning is accurate and styled for platforms like Instagram and TikTok.

We tested it with a 90-minute webinar and got 8 usable 60-second clips in about 10 minutes. The AI picked moments that worked well as standalone content. If you’re creating a lot of social content from longer source videos, Pictory cuts down editing time dramatically.

Pros: Fast highlight extraction, accurate auto-captions, designed for social media formats, affordable pricing

Cons: Not built for brand monitoring or deep analysis, limited video search capabilities, focuses on editing over intelligence

4. Synthesia

Synthesia generates videos from text using AI avatars. You type a script, pick an avatar, and the platform produces a video with realistic lip-sync and voice. It supports over 120 languages and is widely used for training videos, explainer content, and internal communications.

Type: Cloud-based video generation platform
Price: $22/mo (Starter) | $67/mo (Creator) | Enterprise custom
Primary use case: Video creation from text, training videos, multilingual content

Synthesia is less about analyzing existing video and more about creating new video content quickly. Companies use it to generate training modules, product explainers, and onboarding videos without filming or hiring actors. The AI avatars are convincing enough for professional use, though they still have a slight uncanny valley feel.

If your video intelligence need is content creation rather than content analysis, Synthesia fits. It’s not a tool for monitoring brand mentions or transcribing meetings, but it’s a solid option for scaling video production.

Pros: Fast video creation, multilingual support, professional avatar quality, no filming required

Cons: Not an analysis or monitoring tool, avatar quality still distinguishable from real humans, pricing jumps quickly for volume

5. 12 Labs

12 Labs provides a video understanding API for developers. It offers multimodal search across video, audio, and visual content. The API powers video search engines, content moderation systems, and video recommendation features inside larger platforms.

Type: Developer API
Price: Pay-per-use (contact for pricing)
Primary use case: Video search, content moderation, platform integration

12 Labs is built for engineering teams that need to add video intelligence to their own products. If you’re building a video platform, content library, or moderation system, this API gives you the underlying search and analysis capabilities without building the AI models yourself.

We didn’t test it extensively since it requires integration work, but developer reviews indicate strong accuracy on visual search and contextual understanding. This is not a tool for end users. It’s infrastructure for other products.

Pros: Strong multimodal AI, developer-friendly API, handles large video libraries, scalable

Cons: Requires technical integration, no standalone UI, pricing not publicly transparent

6. VEED.IO

VEED.IO is a browser-based video editor with automatic subtitle generation and translation features. It’s designed for small teams and social media managers who need quick edits and auto-captions without installing software.

Type: Cloud-based video editor
Price: Free (limited) | $12/mo (Basic) | $24/mo (Pro) | $59/mo (Business)
Primary use case: Video editing, auto-subtitles, translation

VEED’s auto-subtitle feature is fast and accurate. You upload a video, it generates captions in under a minute, and you can edit, style, and export. It also translates subtitles into 100+ languages, which is useful for international content.

The video intelligence here is lighter than tools like Oriane or ScreenApp. VEED focuses on editing and subtitles rather than deep analysis or search. If you need captions and quick edits, it’s a solid choice. If you need brand monitoring or meeting transcription, look elsewhere.

Pros: Fast auto-subtitles, translation support, easy browser-based editing, free tier available

Cons: Limited analysis features, not built for brand monitoring, video editing is the main focus

7. Descript

Descript combines transcription and video editing in one platform. You edit video by editing the transcript. Delete a sentence in the text, and that section of the video gets cut. It also includes Overdub, an AI voice cloning feature that lets you generate new audio in your own voice by typing text.

Type: Desktop + cloud platform
Price: Free (1 hour transcription/month) | $16/mo (Creator) | $35/mo (Pro) | $55/mo (Enterprise)
Primary use case: Video editing via transcript, podcasts, video documentation

Descript is popular with podcasters and video editors who want a faster workflow. Instead of scrubbing through timelines, you edit the transcript and the video updates automatically. The transcription is accurate, and the Overdub feature is useful for fixing small audio mistakes without re-recording.

The intelligence features include transcription, filler word removal, and studio sound enhancement. It’s not a brand monitoring tool or a deep video analysis platform, but it’s one of the best options for editing video through text.

Pros: Transcript-based editing, Overdub AI voice, accurate transcription, collaboration features

Cons: Not designed for brand monitoring or large-scale video analysis, desktop app required for full features