Enhance your AI performance with precise, multilingual data tailored to your needs
Looking for a reliable data annotation partner?
With two decades of linguistic and translation expertise, we deliver accurate, culturally relevant data annotation powered by advanced technology. Empower your AI and ML models with high-quality datasets optimized for multilingual precision.
Data annotation for your AI projects
Effective AI and machine learning development starts with high-quality, precisely annotated data. We annotate text, images, videos, and audio to help your models deliver superior results.
By partnering with us, you gain access to:
- Precise multilingual annotations by native speakers and linguists.
- Support for all data formats – from plain text to complex 3D data – for easy integration.
- Fast processing of large datasets, even on tight schedules.
- Comprehensive dataset documentation, including format, language, and intended use.
- Tailored solutions to match your project’s unique goals and requirements.
Why choose České překlady
- 20+ years of experience: Since 2004, we’ve delivered tailored solutions to hundreds of clients across the Czech Republic and internationally.
- Certified quality: ISO 9001 and ISO 17100 certifications ensure consistent, reliable results.
- Language expertise: All annotations are handled by professional linguists and native speakers for unmatched linguistic precision.
- Standardized processes: We adhere to international standards to ensure data compatibility and interoperability.
- Modern technology: We leverage advanced tools to deliver fast, scalable, and dependable annotations.
- Deadline-driven: We meet tight deadlines and manage complex, high-volume projects with ease.
- Transparent pricing: Clear, upfront pricing with no hidden fees.
Types of data annotation
- Text annotation
- Image annotation
- Video annotation
- Audio annotation
- 3D data annotation
- Time series annotation
- Special content annotation
- Annotation of user interactions
- Geospatial data annotation
Our clients
Our data annotation service helps organizations across a wide range of industries. Who do we work with?
- Tech companies developing advanced AI, machine learning, and large language models (LLMs).
- E-commerce businesses enhancing product categorization and data-driven analytics.
- Healthcare and research institutions processing complex and sensitive data.
- Startups seeking fast, scalable, and cost-effective data solutions.
Request a quote for your data annotation project
One-off project
The enquiry form is most suitable for one-off projects.
If you are considering long-term cooperation,
please contact our specialist.
Long-term partnership
Zuzana Dvouletá
FAQs
We tag texts to help AI understand their content and meaning. For example, we can mark a review as “positive” or “negative,” sort news by topic, or find keywords such as company names. We can also identify cities or names in texts, or classify e-mails as “spam” or “important.” This helps to train smart chatbots and analyze data.
Example: By tagging terms like “enquiry” in customer e-mails, AI can efficiently route messages to the appropriate sales team.
In image annotation, we label elements such as “car” or “person” by using frames or segmentation to distinguish them from the background. This teaches AI to recognize objects, such as pedestrians for self-driving cars or products in an e-shop.
Example: By annotating “shoe” in a product image, AI can suggest comparable items within the online store.
3D data refers to three-dimensional models, such as buildings or organs. We annotate specific components – such as identifying a “window” or a “lung” – to help AI accurately interpret 3D models. This can be very useful for drones, robots or medical scans.
Example: Marking a “tumor” on a 3D brain scan helps the AI to assist doctors with diagnoses.
In videos, we tag moving objects, such as people or cars, and follow their paths. This allows AI to analyze what’s going on – for example, to detect suspicious behavior on security cameras or to navigate autonomous robots in a factory.
Example: By tagging a “customer” in retail video footage, AI can effectively analyze consumer behavior and in-store interactions.
Our services include call transcription, emotion tagging – such as identifying “excitement” in speech – and recognition of environmental sounds like a dog barking. This teaches AI to better understand speech for voice assistants or analyze calls in a call center for better service.
Example: By identifying “anger” in call center recordings, AI can recommend more effective customer service responses.
We label data that changes over time, such as variations in machine temperature or heart rate, to support dynamic analysis. By annotating events such as “malfunction” or “heart rate acceleration,” AI systems can more effectively predict potential issues and identify anomalies. This saves on industry costs and improves healthcare.
Example: By identifying “high pressure” in pipeline sensor readings, AI can be prompted to detect and respond to potential leaks efficiently.
