Cloudglue vs Voyage AI

Side-by-side comparison of features, pricing, and ratings

Analysis reviewed Live tool data as of 2026-10-09
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At a glance

DimensionCloudglueVoyage AI
PricingFreemium: free tier with credits; paid credit packsContact sales (likely high-volume enterprise)
Primary Use CaseVideo/audio indexing & RAG for AI agents (sales calls, training footage)Text embedding & reranking for RAG on enterprise docs (finance, legal, code)
Input TypeVideo and audio files (transcription, scene segmentation)Text (supports long context up to 32K tokens)
Key FeatureFast indexing: 2 hours processed in ~3 minutesLow-dimensional embeddings (3-8x shorter) to reduce vector storage cost
Integration & ExtensibilityREST API, native agent support with playable citationsModular; integrates with any vector DB or LLM
Compliance & SecurityNot specifiedSOC 2 and HIPAA compliant

Choose Voyage AI if your priority is high-accuracy text retrieval on domain-specific documents (finance, legal) with long-context needs, and you have enterprise budget. Choose Cloudglue if you need to turn video/audio into searchable data for AI agents, want a freemium pricing to start, and value fast indexing over deep text embedding features.

Cloudglue
Cloudglue

Video context API that structures, searches, and reasons over video for AI agents.

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Voyage AI
Voyage AI

Voyage AI delivers domain-tuned embedding models and rerankers for high-precision RAG retrieval

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Pricing
Freemium
Paid
Plans
$0/mo
$15/mo
$45/mo
$350/mo
$600/mo
Contact Us
Consumption-based pricing (rates not published on page)
Popularity
8 views
7.4k views
Skill Level
Advanced
Intermediate
API Available
Platforms
APIWeb
WebAPI
Categories
📑 Document AI & Data Extraction🎬 Video & Audio
🗄️ Vector Databases & Retrieval
Features
Upload video and audio files for indexing
Automatic transcription at 4 credits per minute of footage
Scene segmentation and scene description
Structured entity extraction against user-defined schemas
Semantic search across video segments and collections
Chat completion with playable timestamp citations
RAG across entire video libraries
Aggregate analysis and report generation across many videos
Fast indexing: vendor states 2 hours of video in about 3 minutes
Collection management and collection indexing
REST API for video context extraction
Credit-based usage with multiple credit packs
Native AI agent support via tool calling
Server-side processing with managed model upgrades
Free playground for testing before you write code
General-purpose embedding models including voyage-3.5 and voyage-3.5 lite
Domain-specific embedding models optimized for finance, legal, and code
Company-specific fine-tuned embedding models on proprietary data
Voyage 4 model series for improved retrieval quality
voyage-multimodal-3.5 embeds images and text in one retrieval pipeline
Low-dimensional embeddings (3x-8x shorter vectors) cut storage and search costs
32K-token long-context support for embedding long documents
rerank-2.5 and rerank-2.5-lite add instruction-following to ranking
voyage-context-3 keeps chunk-level detail with global document context
Batch API for large-scale embedding workloads
4x smaller model with faster inference and superior accuracy
2x cheaper inference with superior accuracy
Plug-and-play with any vectorDB and any LLM
SOC 2 and HIPAA compliance
Deploy on major clouds, in-VPC customer tenants, or on-premise with model licensing

What real users say: Cloudglue vs Voyage AI

Not marketing copy and not our opinion — a structured sweep of public discussion (reviews, forums, communities and video comments), showing what people praise and what they complain about for each tool.

Cloudglue

19 mentions across 2 sources · 48% positive — mixed (averaged across 2 sources)

Hacker News, Product Hunt

What users praise

  • • Fast indexing: 2 hours of video processed in 3 minutes.
  • • Developer-first REST API with user-defined extraction schemas.
  • • Native chat with playable citations across video libraries.
  • • Designed for AI agents and RAG workflows out of the box.

What frustrates them

  • • Free tier too small for meaningful evaluation (25 minutes).
  • • No self-hosted or offline processing available.
  • • Usage-based credits can become expensive at scale.
  • • Still in active development; some features are maturing.

Researched Jul 3, 2026

Voyage AI

64 mentions across 6 sources · 54% positive — mixed (weighted across 6 sources)

Hacker News, YouTube, App Store, Stack Overflow, GitHub, Lemmy

What users praise

  • • Domain-tuned legal and finance embedders cut irrelevant docs by 25% in the Harvey case
  • • 3x-8x shorter vectors materially cut vectorDB storage and search costs
  • • rerank-2.5 instruction following lets you steer ranking behavior in plain language
  • • voyage-multimodal-3.5 handles images and text in a single retrieval pipeline

What frustrates them

  • • Default terms train on API customer data with a perpetual, irrevocable license grant
  • • Per-million-token pricing gets expensive fast for high-frequency agent RAG pipelines
  • • A small Jina model reportedly beat Voyage on retrieval in one public benchmark
  • • Open-source ecosystem still thin — Python library has only 114 GitHub stars

Researched Oct 7, 2026

Who should pick which

  • Enterprise RAG engineer for legal documents
    Pick: Voyage AI

    Voyage AI offers domain-specific legal models, 32K context, and HIPAA compliance for sensitive contract analysis.

  • Developer building a video-aware sales call analyzer
    Pick: Cloudglue

    Cloudglue indexes sales call recordings with fast transcription, scene segmentation, and playable citations for AI agents.

  • Solo founder prototyping a video Q&A bot
    Pick: Cloudglue

    Freemium pricing allows free experimentation; easy REST API integration.

  • Data scientist optimizing vector storage costs
    Pick: Voyage AI

    Low-dimensional embeddings (3x-8x shorter) reduce storage and retrieval costs in high-scale RAG.

  • Compliance officer needing SOC 2 for AI pipeline
    Pick: Voyage AI

    Voyage AI's SOC 2 and HIPAA compliance meet regulatory requirements for enterprise deployment.

Frequently Asked Questions

Cloudglue vs Voyage AI: which should you choose?

Choose Voyage AI if your priority is high-accuracy text retrieval on domain-specific documents (finance, legal) with long-context needs, and you have enterprise budget. Choose Cloudglue if you need to turn video/audio into searchable data for AI agents, want a freemium pricing to start, and value fast indexing over deep text embedding features.

Which tool supports multimodal content?

Voyage AI announced voyage-multimodal-3.5 but is primarily text; Cloudglue handles video and audio natively.

Which is better for large-scale document RAG?

Voyage AI, with its 32K token context, low-dimensional embeddings, and domain-specific models.

Do they integrate with vector databases?

Voyage AI integrates with any vector DB; Cloudglue offers its own search but can be combined via API.

Which tool has transparent pricing?

Cloudglue has freemium and credit packs; Voyage AI requires contacting sales.

Can I use Cloudglue for real-time video processing?

No, Cloudglue is designed for asynchronous batch processing, not real-time or edge use.

Does Voyage AI offer a free tier?

No, Voyage AI does not advertise a free tier; pricing is custom.

Which tool is better for legal documents?

Voyage AI, due to its legal-specific embedding model and long-context support.

Can I build a chatbot on meeting recordings with Cloudglue?

Yes, Cloudglue's chat completion with playable citations is designed for that use case.

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Last reviewed: July 3, 2026