Data Annotation Services
for AI and Machine Learning

Somya Translators provides Data Annotation Services for text, image, audio, and video data used to train and evaluate AI and machine learning models. We work with AI teams, ML engineers, and businesses building NLP, computer vision, and speech recognition systems that need accurately labelled training data.

Projects usually start with a short consultation call, where we review your data type, volume, label schema, and timeline, followed by a pilot batch to confirm annotation guidelines before full-scale work begins.

To request a quote, share your dataset details, including format, volume, and label requirements, and we will send you a quote and timeline.

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200+

Languages

190+

Countries

4000+

Language Experts

99.45%

Customer Satisfaction

2000+

Clients Worldwide

What Are Data Annotation Services?

Data annotation is the process of labelling or tagging raw data, text, images, audio, or video so that machine learning models can learn to recognize patterns in it. This labelled data is what supervised learning models are trained and evaluated on; without it, a model has no structured reference for what it’s supposed to learn.

Labelling and annotation are often interchangeable. Labelling typically refers to simple classification (tagging an image as “cat” or “dog”), while annotation can include more detailed contextual information (marking sentiment, intent, or object boundaries).

Both are foundational steps in preparing a dataset for AI model training.

An expert data labeling company in India offers much more than basic tagging; it provides domain-specific annotation workflows, strict quality control, and scalable delivery options that prepare your AI training data for production-ready performance.

We specialize in providing accurate, human-led annotations across different industries, such as healthcare, finance, automotive, and e-commerce, ensuring that all data is clean, structured, relevant, and ML-ready.

Text Annotation Services for AI and NLP

Named Entity Recognition (NER) and Entity Tagging

Input: Raw text documents, articles, or transcripts.
Labels applied: Tags identifying names of people, organizations, locations, dates, and other defined entity types.
Output: Text with entities marked and categorized, typically delivered in JSON or CoNLL format.
Used for: Search engines, legal document automation, and information extraction systems.

Sentiment Analysis and Intent Classification

Input: Customer reviews, support tickets, social media posts, or chat logs.
Labels applied: Sentiment categories (positive, negative, neutral) or intent categories specific to your use case (e.g., “complaint,” “enquiry,” “purchase intent”).
Output: Labelled text data mapped to sentiment or intent classes.
Used for: Customer support automation, social media monitoring, and brand sentiment tracking.

Text Classification or Topic Labelling

Input: Documents, articles, or user-generated content.
Labels applied: Part-of-speech tags, syntactic structure, or language-specific grammatical annotations, depending on project needs.
Output: Linguistically annotated text suited to the target language’s structure.
Used for: Multilingual NLP model training and language-specific text processing systems.

Text Annotation for Chatbots and Large Language Models

Input: Conversational data, query-response pairs, or prompt-completion sets.
Labels applied: Intent labels, response quality ratings, or conversational turn annotations, depending on the project.
Output: Structured conversational datasets for fine-tuning or evaluation.
Used for: Chatbot training, conversational AI development, and LLM fine-tuning datasets.

We scope each text annotation project individually based on your label schema. If a specific text annotation task isn’t listed here, share your requirements with us, and we can have a consultation call regarding that.

Image Annotation Services for Computer Vision

Bounding Box Annotation

Rectangular boxes drawn around objects of interest in an image, marking their location and class. Commonly used for object detection models in retail, security, and general-purpose computer vision projects.

Polygon Annotation and Semantic Segmentation

Pixel-level or shape-precise outlining of objects, used when object boundaries are irregular or when a model needs to distinguish between overlapping or closely positioned objects. Commonly used in autonomous vehicle training and medical imaging.

Image Classification and Object Detection

Whole-image or region-based labelling, where images are tagged with one or more category labels, or specific objects within an image are both located and classified.

Image annotation services for computer vision

Image Annotation for Retail, Automotive, and Healthcare

Retail

Product tagging for visual search and recommendation systems.

Automotive

Road scene labelling, including pedestrians, vehicles, and traffic signals, for autonomous driving systems.

Healthcare

Annotation of diagnostic images, where supported by appropriately trained annotators.

Image Annotation Formats and Deliverables

We deliver annotated image datasets in common formats, including COCO, Pascal VOC, YOLO, and custom JSON structures depending on your model’s requirements. You simply have to let us know your preferred format when requesting a quote.

Audio Annotation Services

Audio transcription and speech labelling

Audio Transcription and Speech Labelling

Task: Converting spoken audio into written text, with labels applied to specific speech segments as needed.

Used for: Training speech-to-text models and voice assistant systems.

Speaker diarization and timestamping

Speaker Diarization and Timestamping

Task: Identifying and labelling which speaker is talking at each point in an audio file, with precise timestamps marking speaker transitions.

Used for: Call center analytics, multi-speaker transcription projects, and conversational AI training.

Emotion, intent, and acoustic event annotation

Emotion, Intent, and Acoustic Event Annotation

Task: Labelling emotional tone, speaker intent, or non-speech acoustic events (such as background noise or specific sounds) within audio data.

Used for: Customer support sentiment systems and acoustic event detection models.

Multilingual audio annotation for speech AI

Multilingual Audio Annotation for Speech AI

Task: Annotate audio in languages beyond English, with native-speaking annotators handling transcription and labelling to maintain linguistic accuracy.

Used for: Multilingual voice

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Need for Data Annotation Services

High-performing AI and ML models depend on massive volumes of annotated data. Without accurate labeling, AI models may fail to understand the language, recognize visuals, or process user behaviors.

Whether you are training NLP engines, autonomous systems, or voice assistants, professional data annotation services ensure your model gets the precise input it needs to excel.

Here’s how a professional linguistic agency with data annotation offerings can help:

Improve AI accuracy

Get clean, annotated datasets that train your model to identify patterns and make accurate predictions.

Save Time and Resources

Outsource your machine learning data labeling to professionals and accelerate model development cycles.

Scale Operations Efficiently

From thousands to millions of data points, you can scale your data workflow with precision and speed.

Maintain Compliance and Speed

Professionals follow strict data protection protocols and adhere to regional data regulations.

Types of Data Annotation Services

As a trusted data labeling company in India, Somya Translators provides an extensive range of annotation services for different AI applications. Our solutions are designed for precision, scalability, and thorough industry compliance.

Our specialized data annotation services include:

Image Annotation

From bounding box annotation to semantic segmentation, we annotate every pixelized image, helping object detection, autonomous vehicles, and facial recognition models.

Text Annotation

We help train NLP models with high-quality text annotation, including NLP data annotation, sentiment tagging, and intent classification.

Audio Annotation

We label sound clips with speaker identification, transcription, timestamping, and intent recognition.

Video Annotation

We offer frame-by-frame video annotation to facilitate motion tracking, action recognition, and scene segmentation.

Medical Data Annotation

We offer specialized medical data annotation for radiology scans, pathology reports, EMRs, and clinical texts—all thoroughly compliant with HIPAA and other data privacy guidelines.

Sentiment and Emotion Annotation

Capture user emotions and layered sentiments in text and voice to help train models for mental health apps, customer support systems, and social media monitoring.

Multimodal Annotation

We also offer services that combine annotations across text, images, and videos for complex applications like virtual assistants.

Named Entity Recognition (NER)

We help to identify proper nouns, keywords, and specific information within large text datasets, which is essential for search engines, legal AI, and document automation.

Our Data Annotation Process

We follow a systematic, high-quality annotation workflow to ensure consistency, accuracy, and scalability.

Our process includes:

Data Ingestion: We securely collect and format raw data across different types of content (text, image, audio, and video).

Annotation Team Setup: We set up an expert team that configures the task type, bounding box annotation, entity tagging, sentiment labeling, etc., using industry-grade tools and guidelines.

Human-Led Annotation: Native linguists and data experts annotate the data, backed by secure workflow infrastructure and QA.

Review and Validation: We conduct multiple levels of quality checks to ensure annotated data meets accuracy expectations and is delivery-ready.
Delivery and Feedback: We deliver your AI training data in the required format and provide room for iteration based on client feedback.

Language Solutions

Data Annotation in 200+ Languages

As a leading data annotation service provider, we aim to offer a comprehensive environment and total satisfaction to our clients. Hence, we don’t limit our services to one language but extend them to 200+ global languages.

Some of them are:

English Translation

Hindi Translation

Czech Translation

Croatian Translation

Arabic Translation

French Translation

Spanish Translation

Chinese Translation

Japanese Translation

Italian Translation

Amharic Translation

German Translation

And many more..

Benefits of Outsourcing Data Annotation to Us

As an ISO 17100:2015-certified linguistic company, globally acclaimed for its data annotation services, we work with several companies from different regions. Our 16+ years of professional experience make us a go-to destination for companies looking for top-notch data annotation services.

Here’s why businesses across the globe trust us for their annotation needs:

Domain-Specific Expertise

Our data annotation specialists understand complex industry data, be it from healthcare, legal, fintech, and more.

Scalable Workforce

We can effortlessly handle projects from 10k to 10 million+ annotations.

Custom Tools and Integration

We are adept at working with your platforms, APIs, or annotation tools—or we use our in-house tools.

Data Privacy and Compliance

We use a fully secure annotation workflow with anonymization and NDA-bound processes.

Cost-Effective Solutions

We offer cost-friendly data annotation services to our customers, ideally startups and enterprises.

Multilingual Support

We facilitate data annotations in 200+ global languages to train diverse AI systems.

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Professional Data Annotation and Other
Linguistic Services

Beyond data annotations, we offer a wide range of linguistic solutions to help businesses, organizations, and individuals streamline communication complexities.

Some of our services are:

Translation Services

From documents to audio-video files, we offer accurate and culture-sensitive translations for all types in 200+ languages.

Localization Services

We adapt websites, apps, and software according to the region-specific nuances of local markets.

Interpretation Services

We offer real-time interpretation services for all types of events.

Linguistic Testing

Our services enable you to test the linguistic and cultural validity of content in the target region.

Our Services Cater to Various Industries

Automotive

Label road scenes, pedestrian paths, and traffic signals with semantic segmentation and 3D bounding.

Medical and Healthcare

We help to annotate medical records, radiology images, and diagnostic reports with strict privacy.

IT and Software

Power digital assistants and search algorithms through detailed NLP data annotation.

Retail and E-commerce

Annotate product listings, reviews, and visual content for recommendation engines.

Banking and Finance

Tag financial texts, transactions, and voice calls for fraud detection and automation.

Legal

Tag legal documents, contracts, and case studies for information extraction.

Frequently Asked Questions (FAQs)

Q1. What is the difference between data annotation and data labeling?

Ans. They are often interchangeable. However, data annotation adds contextual metadata (e.g., tagging intent, emotions), while labeling refers to classification (e.g., cat, dog).

Q2. Do you offer real-time or on-demand annotation?

Ans. Yes. Depending on the project, we provide both real-time and scheduled annotation services for faster turnaround.

Q3. Can you handle sensitive data like medical and financial documents?

Ans. Absolutely. We specialize in medical data annotation and finance, with strict data security protocols.

Q4. What formats do you support for image and video annotations?

Ans. We work with all common formats, such as JPEG, PNG, MP4, MOV, etc. We can also export annotations to COCO, Pascal VOC, or custom formats.

Q5. How do you ensure high quality?

Ans. We follow a multi-tier review process, combining expert annotation, peer review, and automated QA checks.

Q6. Can you support multiple languages for NLP tasks?

Ans. Yes, our text annotation team works across 170+ languages for multilingual NLP data annotation.

Q7. What tools do you use for annotations?

Ans. We are open to using both in-house and client-specified tools for machine learning data labeling.

Q8. How quickly can a project be delivered?

Ans. We pride ourselves on always adhering to deadlines; however, timelines depend on various factors like data volume and complexity.

Q9. What is the price of your data annotation services?

Ans. Our cost depends on factors such as the volume, complexity, and even the language used. You can get a free quote here.

Q10. How do we connect for the data annotation project?

Ans. You can simply contact us by phone or email. Or you can click here , and our team will get back to you with a detailed proposal.

We’re facilitating our clientele 24*7

Our Dynamic Solutions for You

We’re a professional Language Service solution for all domains in the global industry. Now choose from the capacity of services and let your business have the power of effective language solutions.

+91-11-43061918

info@somyatrans.com