Recoll

Overview

Recoll is a free, open-source desktop search tool for people who need to find material across large or varied file collections, not just locate filenames. It is particularly suited to users who want detailed queries, broad format coverage, and a choice of desktop, browser, or command-line access. Its breadth is compelling, though Windows users should expect a reduced feature set and some Linux and macOS formats depend on external extraction tools.

It can index files on a local drive, removable volumes, and shared storage the computer can access, including email and compressed archives. That makes it a practical fit for personal archives and work collections, provided the user is comfortable managing an index and any format dependencies.

For other options, browse Desktop Search Software.

Key features

Search that goes beyond filenames

Recoll supports Boolean queries, phrases, proximity, and wildcards, with filters for file type and directory tree. These controls reward precise searching through a large collection; they may be more than someone needs for occasional basic file lookup. The index covers many common document types and compressed files, including email attachments nested inside archives.

Flexible indexing and interfaces

The indexer can run periodically as a batch job or continuously for real-time indexing, letting users choose between scheduled updates and an index that stays current. Search is available in a Qt desktop GUI, a browser-based Web UI, and the command line; GNOME Shell search, KDE KIO, and KRunner integrations add options for Linux desktop environments. The browser interface queries a Recoll index rather than replacing the indexing software.

A Python 3 extension can query or update the index. The Web UI and Joplin notes indexer are built on that extension, making it useful for programmatic access as well as interactive searches.

PDFs, OCR, and language support

Recoll can index PDF attachments and annotations, extract custom XMP metadata, and OCR image-only PDFs through Tesseract or ABBYY FineReader. OCR makes scanned documents searchable, but requires one of those OCR engines. Unicode UTF-8 supports multiple languages and character sets, and users can select the stemming language when querying.

Pricing

Recoll is free and open source under the GPL. The Linux and source plan costs 0.00 USD per free. There are no paid tiers, seat counts, or usage quotas described. The free Linux and source edition is the straightforward choice for users able to install and maintain it; Windows users can download a binary but should account for the requested contribution and the port's limitations.

Platforms

Recoll supports Linux, macOS, Windows, and web access through its Web UI. Its indexes can cover local filesystems, removable volumes, and shared or otherwise computer-accessible storage. On Linux and macOS, some formats require external applications or libraries for text extraction, so coverage can depend on the software installed. The Windows port lacks some features, including multithreaded execution, which makes it a less complete choice for users who need the full feature set.

The Windows page states that Recoll does not connect to external locations and that user data stays on the computer. Download files are signed with GPG and checksummed. Users can report problems through the issue tracker, mailing list, or direct email.

Who it's for

Recoll suits people who need content search across document formats, email, archives, and scanned PDFs, especially those who value advanced query controls or want to search an index from multiple interfaces. Its Linux integrations and Python extension also make it a strong fit for technically confident users who want to incorporate search into their workflow.

It is a weaker fit for Windows users who require every feature, or for anyone who wants a simple search tool without configuring indexing or format-extraction dependencies. OCR is useful for image-only PDFs, but requires Tesseract or ABBYY FineReader.

Pros and cons

• Pros: Advanced query operators and file-type or directory filters help narrow large collections precisely.
• Pros: Indexing spans common document types, compressed files, and email attachments inside nested archives.
• Pros: Scheduled and continuous indexing, plus desktop, browser, command-line, and desktop-environment access, suit different workflows.
• Pros: OCR, PDF annotation indexing, and XMP metadata extraction extend search to scanned and annotated documents.
• Cons: The Windows port omits some features, including multithreaded execution.
• Cons: Some Linux and macOS formats need external applications or libraries for extraction, and OCR requires an OCR engine.

Alternatives

Choose FoxTrot Search if you want a paid option for macOS and iOS rather than Recoll's free, multi-platform approach.

ProFind is another paid macOS and iOS option; its 14-day free trial is useful if you want to try it before buying.

Agent Ransack fits Windows users considering a freemium alternative: its Lite plan is free for personal or commercial use, with no support.

Buddi is a free Linux, macOS, and Windows budgeting application, rather than a desktop search alternative.

DocFetcher is another free, open-source desktop search option for Linux, macOS, and Windows; it requires users to create indexes for folders.

EasyFind is a free macOS option if you want software made by DEVONtechnologies.

Listary is a Windows freemium alternative whose free plan is limited to personal use and basic file search, app launch, filters, commands, and UI theme.

Open Semantic Desktop Search is a free option for Linux, macOS, self-hosted, web, and Windows use, delivered as a virtual machine image for one desktop computer or notebook and requiring VirtualBox.

Verdict

Recoll is an excellent choice for technically confident users who need detailed, cross-format content search without paying for a license. Its broad indexing, query controls, and flexible interfaces are the reasons to choose it; the Windows feature gap and external extraction dependencies are the reasons to look elsewhere.