FileLocator Pro vs Precision File Search
FileLocator Pro
mythicsoft.comPrecision File Search
pfs-ai.github.ioSide by side
| Figure | FileLocator Pro | Precision File Search |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Windows | Yes | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | Yes | — |
| Plans published | 3 | 1 |
| Spec score · Desktop Search Software | 8.1 (#9) | 7.6 (#23) |
| Intended users | The maker describes FileLocator Pro as search software for professionals and says its customers range from large corporations to private individuals. | The project README names researchers, students, developers, legal and business professionals, writers, and people organizing large local document collections as intended users. |
| Privacy | Mythicsoft says product usage data is sent to its servers only when users specifically request it, such as by submitting a crash report or checking for updates. | The maker says PFS never uploads files or search queries and that personal data is not sent to external servers. |
| Security | Mythicsoft’s vulnerability disclosure program accepts reports by email or web form and says it acknowledges reports within two business days. | The maker lists path-traversal prevention, XSS sanitization, and prompt-injection hardening as security measures. |
Plans
FileLocator Pro
- Standard License$79, paid once
- Technician License$142, paid once
- Floating License$206, paid once
In their own words
FileLocator Pro
FileLocator Pro has no write-up on Specifiction yet; its figures are above.
Precision File Search
Precision File Search is a free desktop application for finding, classifying, and understanding local files on Windows, macOS, and Linux. It combines classic search with semantic search using a retrieval-augmented generation pipeline, and can answer natural-language questions with summarized responses. A trainable machine-learning model sorts scattered documents into categories users define. The maker says the application and AI models can operate locally, without cloud dependency, and that files, queries, and personal data are not sent to external servers. The project lists support for 18 languages, including English, Arabic, Chinese, French, German, Hindi, Japanese, and Spanish. An internet connection is needed on first run to download multilingual AI models; later runs can be offline. PFS supports OpenAI-compatible inference URLs, including online providers and local engines such as Ollama and LM Studio. The README lists 8 GB of RAM for the core platform and a dedicated GPU, with at least 4 GB of VRAM for smaller models, for local LLM use. The project is licensed under MPL-2.0.