ClipCatalog vs Fast Video Cataloger
A careful comparison for buyers deciding between ClipCatalog as an AI-powered video retrieval tool and Fast Video Cataloger as a keyword-and-thumbnail-first video cataloging system with scripting extensibility.
Key official vendor sources reviewed for this page
The links above highlight the main public sources used for this comparison. Product details can change, so recheck pricing, plan limits, and feature scope on the vendor's live site before you buy.
- Regular price
- $149
- Free trial
- 500 videos / 10 hours
- License terms
- 2 activations + lifetime updates
- Monthly
- USD 9.90
- Yearly
- USD 97
- Perpetual
- USD 197
- Trial
- 30 days free
Prices from public materials. Volume discounts available for 5+ licenses.
Detailed feature comparison
This table focuses on differences that materially affect a buyer choosing between an AI-driven video retrieval tool and a keyword-first cataloging system.
| Capability | ClipCatalog | Fast Video Cataloger |
|---|---|---|
| Primary orientation | AI-powered Windows desktop video retrieval for large local libraries. | Keyword-and-thumbnail-first video cataloging for Windows with scripting extensibility. |
| Typical buyer | Solo creators, editors, archivists, and small teams focused on finding the right clip quickly using AI search. | Solo creators, editors, and teams who prefer manual keyword organization and thumbnail browsing across video collections. |
| Search model | Semantic natural-language video search with strictness controls, relevance sorting, and combined filtering across visual content, transcripts, people, and metadata. | Keyword search, metadata search, and scene-level filtering. Transcript text search was added in version 9. |
| Face recognition | Yes. Face grouping, person filters, and a workflow to find more videos with the same person are part of the core feature set. | Not publicly specified in the materials reviewed for this comparison. |
| Visual AI for video | Yes. Local visual scene analysis is a core search surface, using ONNX models running on the local GPU or CPU. | Public materials describe plugin-based AI tagging. The scope and model details of the built-in visual analysis are not publicly specified in the documentation reviewed. |
| Transcript and spoken-word search | Yes. Local transcription via whisper.cpp with spoken-word search across the entire library. | Yes. Version 9 added a transcript window with plugin-based transcript generation and SRT import. Search across transcripts is supported. |
| Keyword and metadata management | Metadata filters, path filters, volume filters, and footage-type classification. Manual keyword tagging is not the primary workflow. | Strong area. Hierarchical parent keywords, scene-level keyword tagging, custom metadata fields, XMP extraction and write-back, and auto-keywording from file paths. |
| Server and team sharing | Desktop-focused retrieval tool without integrated server sharing. | Integrated server support for sharing catalogs locally or over the internet, with user permissions and role-based access controls. |
| Extensibility and scripting | Focused on search, transcript export, and file handoff. No public scripting API. | C# scripting support with a documented API, 20+ sample scripts, and custom action bindings. |
| NLE integration | Drag-and-drop and copy-paste file handoff to external editors. No direct NLE plugin integration. | Drag-and-drop file handoff and playlist export in FCP7 XML format, which can be imported into editors like DaVinci Resolve. |
| External drive and archive handling | Volume tracking, disconnected-drive awareness, missing-folder warnings, and moved-folder relinking are core features. | Supports archiving videos to secondary storage and searching metadata when drives are disconnected. |
| Video player | Integrated player with timeline navigation and scene thumbnails. | Integrated player with scene navigation. MPV player integration was added in version 9.2. |
| Catalog security | Database encryption via SQLCipher with OS-level key storage. | AES 256-bit video encryption and masking, plus password-protected catalogs. |
| Pricing model | Perpetual license with a free trial. | Monthly subscription from USD 9.90, yearly from USD 97, or perpetual license at USD 197. Free 30-day trial. |
Fast Video Cataloger notes summarize public product information reviewed for this comparison. Quote pricing, plugin capabilities, and server features should be rechecked on live Fast Video Cataloger pages before purchase.
Semantic search across a local video library
ClipCatalog combines visual search, transcript search, and face recognition to find clips by content rather than relying on manually assigned keywords.
AI retrieval vs keyword-first cataloging
ClipCatalog is built around the idea that users should be able to describe what they are looking for in natural language and get relevant results from a large video library. Semantic video search, face recognition, and automatic visual tagging all run locally without requiring manual keyword assignment.
Fast Video Cataloger takes a different approach: thumbnail walls give a fast visual overview of each video, and keyword tagging at the scene level builds a searchable index over time. This model gives users direct control over how content is classified, especially when combined with hierarchical parent keywords and C# scripting for bulk operations.
Both support transcript search with different approaches
ClipCatalog treats transcript search as a core local retrieval surface. Transcription uses whisper.cpp running locally on the user machine, with no external API dependency.
Fast Video Cataloger added transcript support in version 9 with a transcript window and plugin-based transcript generation. SRT import is also supported. The specific runtime and API dependency of the transcript plugin are not publicly specified in the documentation reviewed.
Team workflows and scripting extensibility
Fast Video Cataloger offers integrated server support for sharing catalogs across a team, with user permissions and role-based access. Its C# scripting API with 20+ sample scripts is a distinctive strength for buyers who want to automate classification, export, or integration with other tools.
ClipCatalog is focused on desktop retrieval and does not currently offer server-based catalog sharing or a public scripting API. It prioritizes depth in AI search over breadth in workflow automation.
Archive drives and disconnected storage
Both tools support searching metadata when external drives are disconnected, which matters for users with footage spread across portable SSDs and backup drives.
ClipCatalog adds volume tracking, missing-folder warnings, and moved-folder relinking as part of its core external-drive workflow. Fast Video Cataloger supports archiving videos to secondary storage media and filtering archived content, though equivalent moved-folder relinking was not publicly specified.
Search spoken words across local footage
ClipCatalog transcribes video locally via whisper.cpp and makes every spoken word searchable across the entire library without external API dependencies.
Where ClipCatalog stands out
These are the ClipCatalog strengths that matter most in a Fast Video Cataloger comparison.
ClipCatalog is built around description-based video search. Users can search by describing what they are looking for rather than relying on pre-assigned keywords.
ClipCatalog offers face grouping, person filters, and a direct workflow to find more videos with the same person. This feature was not publicly specified for Fast Video Cataloger.
Visual tagging, face detection, text embeddings, and transcription all run on the local machine using ONNX, FAISS, and whisper.cpp. No cloud API keys or per-use costs are involved.
Volume tracking, disconnected-drive handling, missing-folder warnings, and moved-folder relinking are built into the core workflow for users with footage on rotating external SSDs.
Where Fast Video Cataloger may be the better choice
These are the clearest situations where Fast Video Cataloger may be the better fit.
Fast Video Cataloger offers a documented C# scripting API with 20+ sample scripts for bulk classification, export, and integration with other tools. ClipCatalog does not expose a public scripting interface.
Fast Video Cataloger has integrated server support for sharing catalogs locally or over the internet, with user roles and access controls. ClipCatalog is focused on desktop retrieval.
Fast Video Cataloger is designed around scene-level keyword tagging, hierarchical parent keywords, XMP write-back, and thumbnail-based browsing. This model gives full control over how content is classified.
Fast Video Cataloger offers a monthly subscription starting at USD 9.90 and a perpetual license at USD 197, making it accessible for buyers who want to evaluate the tool at a lower commitment.
Frequently asked questions
Yes, if your core problem is finding specific clips using AI-powered search rather than manually cataloging videos with keywords and thumbnails. ClipCatalog is stronger in semantic search, face recognition, and automatic visual tagging. Fast Video Cataloger is stronger in manual keyword workflows, scripting extensibility, and team catalog sharing.
Both tools are built for local Windows video libraries. ClipCatalog is usually the closer fit if you want to search by describing visual content, spoken words, or faces. Fast Video Cataloger is usually the closer fit if you prefer to build a keyword index manually and want scripting control.
Face recognition in video was not publicly specified in the Fast Video Cataloger materials reviewed for this comparison. ClipCatalog offers face grouping, person filters, and a workflow to find more videos with the same person.
Yes. Fast Video Cataloger version 9 added a transcript window with plugin-based transcript generation and SRT import. Transcripts are searchable across the catalog.
Yes. Fast Video Cataloger offers integrated server support for sharing catalogs locally or over the internet, with user permissions and role-based access controls. ClipCatalog is focused on single-user desktop retrieval.
Fast Video Cataloger offers a monthly subscription from USD 9.90, a yearly option at USD 97, or a perpetual license at USD 197. ClipCatalog offers a perpetual license. Both offer free trials. Current prices should be verified on each product page before purchase.
Comparison note
This comparison uses public product information and is meant to help buyers evaluate fit, not imply affiliation, endorsement, or hands-on testing. Fast Video Cataloger and ClipCatalog are trademarks of their respective owners.
Relevant comparisons
If you are evaluating this workflow against other tools, start with these side-by-side pages.
See if ClipCatalog fits your video archive
Download the Windows trial, index a real folder, and compare how quickly you can find visual scenes, spoken words, and people across your own footage.