Data Searcher combines artificial intelligence, vector search, and OCR to transform your document archive. Find any information in any document, even scanned or image-based, in seconds. A solution designed for teams who need fast access to their documents without technical expertise.
Whether you are a lawyer searching for legal precedent, an archivist cataloging thousands of pages, a researcher analyzing corpora, or an HR manager handling recruitment files, our platform adapts to your needs with unmatched precision.
Six technological pillars at the service of your productivity. Every feature is designed to eliminate friction between you and your information.
Our vector search engine understands the meaning of your queries, not just keywords. When you search for "unpaid supplier invoice", the system identifies documents related to payment delays even if those exact terms do not appear. Powered by AI embeddings optimized for professional French and English documents, it covers legal, financial, medical, and technical contexts with relevance superior to traditional full-text engines like Elasticsearch. The hybrid approach runs both vector and lexical search in parallel, merging results with weighted scoring for optimal accuracy.
Every uploaded document is automatically analyzed and processed by our integrated OCR engine. Support for over 100 languages including French, English, German, Spanish, and Italian. Our pre-processing algorithms (de-skewing, perspective correction, contrast normalization) maximize accuracy even on old or low-quality documents. Unlike ABBYY FineReader or Tesseract, zero configuration required: everything happens automatically in the cloud. Each OCR'd page is linked to its original document for direct navigation after search.
Connect your existing storage with native integrations for Google Drive, OneDrive, Dropbox, and MEGA. Index your remote documents without duplicating them, saving storage space. Beyond the cloud, the Enterprise plan supports PostgreSQL, MySQL, MongoDB, Oracle, and Apache Kafka databases. Supported formats include PDF, DOCX, XLSX, PPTX, images (JPG, PNG, TIFF), and text files. Our REST API enables custom integrations with your existing systems, with official SDKs for Python and JavaScript.
Create shared workspaces with granular permission controls. Three available roles — Admin, Editor, and Viewer — allow fine-grained access control over each document collection. An admin can manage members and settings, an editor can upload and organize documents, while a viewer has read-only access and search capabilities. Features include search result sharing, document annotation, and complete modification history. A full audit log tracks every action for compliance needs. SSO authentication via Google, Microsoft, GitHub, and LinkedIn simplifies onboarding new team members.
AES-256 encryption at rest and HTTPS/TLS 1.3 in transit. Exclusive European hosting ensuring native GDPR compliance and avoiding any submission to the US Cloud Act. Automated daily backups with an availability SLA exceeding 99.9%. Right to be forgotten, data portability, data minimization, and explicit consent are natively integrated. Permanent deletion of all your data within 30 days of account closure. Administrative access is restricted to authorized personnel with mandatory two-factor authentication. All access logs are retained for a minimum of 12 months.
Sub-200ms response times even on collections of several hundred thousand documents. A 50-page PDF is indexed, OCR'd if necessary, and made searchable in under 2 minutes. Our hybrid architecture combines Qdrant for vector embeddings, MySQL for metadata, and Redis for caching. Parallel processing via Celery allows hundreds of documents to be indexed simultaneously without performance degradation. Results are ranked by semantic relevance and include highlighted text excerpts with exact document location.
Vector search represents a fundamental evolution over traditional search engines. Instead of simply looking for keyword matches, Data Searcher uses AI-generated embeddings to understand the deep meaning and context of your queries. When you search for "late supplier invoice", the system understands you are looking for documents related to payment delays, even if those exact terms do not appear anywhere in the source text. This semantic understanding allows you to find documents that share the same topic even with completely different vocabulary.
Our embedding model is specifically optimized for professional documents in French and English. It guarantees relevant results in complex legal contexts, technical financial reports, specialized medical records, or engineering documentation. Vector indexing happens automatically when each document is uploaded: no parameters to set, no manual action required. As soon as the file arrives on the platform, the indexing pipeline triggers and makes the content searchable within minutes depending on its size and complexity.
Compare this with Elasticsearch or traditional full-text engines: they excel at exact match search but fail completely as soon as the query goes beyond simple lexical matching. Data Searcher's vector search does not replace full-text search; it complements it by adding an intelligent understanding layer. Our hybrid approach executes both types of search in parallel and merges the results with weighted scoring, offering the best of both worlds: the precision of exact matching when it exists, and semantic relevance when vocabulary differs.
Optical Character Recognition (OCR) is at the core of Data Searcher's value proposition. Many organizations have digitized archives in the form of scanned PDFs or images, making traditional text search impossible. Our integrated OCR engine automatically analyzes each uploaded document, detects the presence of scanned text, and launches the optical recognition process without manual intervention. The pre-processing pipeline includes de-skewing to correct rotated pages, perspective correction for documents photographed at an angle, and contrast normalization to enhance readability of faded or low-contrast text.
Multi-language support covers French, English, German, Spanish, Italian, and over 100 additional languages. OCR accuracy depends on source document quality, but our pre-processing algorithms maximize success rates even on old or degraded documents. Success rates exceed 95% on standard-quality documents. Each OCR'd page is associated with its original document, allowing you to navigate directly to the relevant page after a search rather than downloading the entire file. This page-level precision saves significant time when working with multi-page documents where only specific sections contain the information you need.
Unlike solutions like ABBYY FineReader which require local installation and expensive licensing, or Tesseract which demands complex DevOps configuration and maintenance, Data Searcher's OCR is entirely cloud-based and available immediately upon signup. No server infrastructure to provision, no software updates to manage, no language packs to install. The OCR capacity scales automatically with your subscription tier, from 100 MB on the free plan to terabytes on Enterprise plans, with consistent processing speed regardless of volume.
Speed is a critical factor when searching through archives containing thousands of documents. Data Searcher indexes each document in real time upon upload. A 50-page PDF file is typically processed, OCR'd if necessary, and made searchable in under 2 minutes. For bulk imports, a Celery queue system ensures parallel processing of multiple documents simultaneously, maintaining consistent throughput regardless of queue depth. The indexing pipeline processes extraction, OCR, embedding generation, and index update as a single atomic operation, guaranteeing that a document is either fully searchable or not yet visible in results — never partially indexed.
Search response times are optimized thanks to our sophisticated hybrid architecture combining vector search powered by Qdrant and traditional full-text search. A typical query returns results in under 200 milliseconds, even on collections of several hundred thousand indexed documents. Results are ranked by descending semantic relevance and include highlighted text excerpts with exact document location: page number, position within the file, and surrounding context around the matching passage. This contextual presentation allows users to assess relevance without opening each document individually.
Our infrastructure relies on a clear separation of responsibilities: Redis handles caching of frequent queries for instant response, MySQL stores structured metadata for documents and users, and Qdrant maintains vector embeddings with an HNSW index optimized for approximate nearest neighbor search. This modular architecture guarantees both raw performance and long-term reliability, with continuous monitoring of response times, OCR success rates, and load across all system components. Automated scaling provisions additional resources during peak usage periods, ensuring consistent performance for all users.
Data Searcher is fundamentally designed for collaborative work in professional environments. Create shared workspaces between your team members, with a granular permission system precisely defining who can view, edit, delete, or administer each document collection. The three available roles — Admin, Editor, and Viewer — allow fine-grained access control over sensitive information. An admin can manage members and workspace settings, an editor can upload and organize documents, while a viewer has strictly read-only access and search capabilities. Permissions can be set at the workspace level or individually per document collection.
Collaboration features include search result sharing between colleagues, document annotation with notes and markers, and complete modification history for every file. Every action performed on the platform is tracked in an audit log accessible to administrators, ensuring complete traceability of accesses and modifications. This traceability is particularly essential for law firms bound by professional secrecy, HR departments handling sensitive personal data, or compliance teams required to follow strict access control protocols and regular audit cycles. The audit log records user identity, timestamp, action type, and affected resource for every event.
SSO authentication via Google, Microsoft, GitHub, and LinkedIn significantly simplifies onboarding new team members. No need to manage separate credentials or remember new passwords: your collaborators log in with their existing accounts already used daily. Invitation management works via email with one-click validation. Administrators can also export and import team configurations to facilitate migration from other document management tools, preserving folder structures and permission assignments during the transition.
Data security constitutes an absolute priority in the design of Data Searcher. All exchanges between your browser and our servers are protected by HTTPS with TLS 1.3, the latest version of end-to-end encryption standards. Documents at rest are encrypted with AES-256, the industry standard for encrypting sensitive data, using encryption keys generated uniquely for each workspace. Our infrastructure is hosted exclusively in Europe, ensuring GDPR compliance and avoiding any submission to the US Cloud Act that could allow non-European authorities to access your data. No data center outside the European Union is involved in processing or storage.
Automated daily backups ensure the preservation of your data even in case of hardware failure or cyberattack. A business continuity plan (BCP) is tested regularly to guarantee availability exceeding 99.9%, measured and contractually guaranteed. Administrative access to infrastructure is limited to authorized technical team members only, with mandatory two-factor authentication. All access logs are retained for a minimum of 12 months for audit and potential investigation purposes. Penetration testing is conducted quarterly by independent third-party security firms to identify and address vulnerabilities before they can be exploited.
GDPR compliance is natively integrated into every aspect of the platform. The right to be forgotten is honored with permanent deletion of all your data within 30 days maximum. Data portability is guaranteed through complete exports in standard format. Data minimization means only information strictly necessary for platform operation is retained. Explicit consent is required for any usage data collection, and no data transfer outside the European Union is performed, neither directly nor through subcontractors. Your documents are never used to train third-party AI models, and embeddings generated for vector search remain isolated within your dedicated space.
Data Searcher integrates directly with major cloud storage services to index your documents without requiring duplication on our infrastructure. Native integrations with Google Drive, OneDrive, Dropbox, and MEGA work through secure OAuth connection: you authorize Data Searcher to read your remote files, and our system automatically indexes them for search. Your documents remain with your usual cloud provider; we only access their content to generate search embeddings. If you revoke the connection, all associated indexes are automatically purged. Changes to your cloud storage are detected and reflected in the search index within minutes, keeping your search results always up to date.
Supported file formats cover the full range of current professional standards. PDF documents, whether native or scanned, constitute the primary format. Microsoft Office files (DOCX, XLSX, PPTX) are extracted and indexed with structure preservation. Static images (JPG, PNG, TIFF, BMP, WebP) are processed through our OCR pipeline. Plain text files (TXT, CSV, MD, JSON, XML) are indexed directly. For Business and Enterprise plans, support extends to relational databases (PostgreSQL, MySQL, Oracle) and NoSQL databases (MongoDB), as well as real-time data streams via Apache Kafka. This broad format coverage ensures that virtually any document in your organization can be made searchable through Data Searcher.
The REST API exposed by our FastAPI backend enables custom integrations with your existing systems. Import documents programmatically, query the search index from your internal applications, or synchronize metadata with your ERP and CRM systems. Detailed API documentation includes examples in major programming languages and official SDKs for Python and JavaScript. The webhook system automatically notifies you when a document finishes indexing or when an OCR error is detected, enabling seamless integration into your existing automated workflows. Rate limiting and API key management ensure secure and controlled programmatic access to your data.
Data Searcher stands out through its unique combination of vector search, automatic OCR, and a collaborative interface accessible without technical expertise.
| Feature | Data Searcher | Rossum | ABBYY | Mindee |
|---|---|---|---|---|
| Visual Search | ✓ Built-in | ✗ | ✗ | ✗ |
| Multi-language OCR | ✓ 100+ languages | ✓ | ✓ | ✓ |
| AI Vector Search | ✓ Native | ✗ | ✗ | ✗ |
| Collaborative Web UI | ✓ Multi-user | Limited | Desktop only | API only |
| EU Hosting / GDPR | ✓ 100% EU | ✓ | Optional | ✓ |
| Free Tier | Free (100 MB) | Paid only | Expensive | Limited free tier |
| No Technical Skills Required | ✓ Zero config | API setup needed | Local install | Developer required |
Start for free with 100 MB of indexing. No credit card required. Discover how Data Searcher can revolutionize your document management.