Data Augmentation & Synthetic Data Services

Data Augmentation & Synthetic Data Services in India 2026
Image, Text, Audio & Tabular Dataset Expansion

Data augmentation pipeline expanding a training dataset across image, text and audio modalities

We build and expand high-quality training datasets — augmentation, synthetic generation and labelling that delivers 5-50x data expansion across image, text, audio and tabular modalities to lift model accuracy and robustness.

verified30+ datasets builtpublicUS, UK, Singapore, UAEshieldPrivacy-safe synthetic data

Proof You Can Open in a Browser Tab

Working systems you can open right now, without talking to us. There are no client logos below and no testimonials — we will not publish proof we cannot substantiate. What we can put in front of you is software hjLabs.in built, deployed and keeps running in public. Open it, push on it, and judge the engineering yourself before you spend time on a call.

Test the model your data has to satisfy

Image classification and zero-shot detection, live in your browser

139open models
running live

Augmentation is only worth doing if it moves the downstream model. Both of these run on your own GPU through WebGPU with nothing uploaded, so you can put your existing images through them and see where the current model actually fails before deciding what to synthesise. Zero-shot detection is particularly useful for finding classes you have no labels for yet.

Image classification Zero-shot object detection All 139 models

Training, in the browser

Teach a classifier from your own examples

22task types
in the catalogue

Supply your own examples and train a working classifier in the browser, on your own GPU. It is the quickest honest way to see how far a small labelled set gets you — and therefore how much augmentation or synthetic data you actually need, rather than how much someone would like to sell you.

Teach a model All 139 models

Shipped and running in production

Thirteen live tool subdomains, deployed and reachable now

13tools live
on hjlabs.in

Not prototypes and not a portfolio page — thirteen separate tools built, deployed and kept running by hjLabs.in, each on its own subdomain. Click any of them and see for yourself.

pixel enhance compliance fmt og schema calc time devtools aitools seo cr manufacturinghub

Why hjLabs.in — stated plainly

We are a small specialist team, not a large consultancy, and we are not going to dress up as one. Here is what that actually buys you.

You talk to the engineer who builds it

There is no account-manager layer between you and the person writing the code. The engineer who takes your scoping call is the engineer on your project, and stays reachable for the length of it.

Industrial hardware is our background, not a slide

hjLabs.in designs, manufactures and sells production machines — CNC routing, selective soldering, wire cutting, spring coiling, transformer winding. When a vision model has to survive a real factory line, cameras, lighting, PLCs and vibration are our day job, not a subcontractor’s.

Our work is inspectable before you pay us

Live tools you can open, open-source repositories you can read, and a standards implementation you can check line by line against the DICOM specification. You do not have to take a claim on trust when you can go and test it.

What we are not going to show you: client logos, testimonials or case-study numbers. We will not publish proof we cannot substantiate, and we would rather you find that out on this page than after signing something. For a focused engagement, the trade is straightforward — less brand-name comfort, more of the senior engineering time you are paying for.

Book a 30-minute technical call

Data Augmentation Services

Image Augmentation

Enhance your image datasets with our state-of-the-art Image Augmentation service. Utilize advanced techniques to create diverse and robust training data for your machine learning models.

Image Augmentation is a widely used technique in the field of computer vision to increase the size and diversity of image datasets. By applying various transformations like rotation, scaling, flipping, and color variations, we can create new, unique images that help improve the performance of machine learning models in tasks such as object detection, image classification, and semantic segmentation. Our Image Augmentation service has been adopted by industries like healthcare, automotive, retail, and security for applications like medical image analysis, autonomous vehicles, visual product recommendations, and surveillance systems.

Text Augmentation

Improve your NLP models with our Text Augmentation service. Employ cutting-edge algorithms to expand your text datasets, ensuring better performance and generalization for your models.

Text Augmentation is an essential technique in natural language processing for expanding and diversifying text datasets. By using methods like synonym replacement, sentence shuffling, and back translation, we generate new text samples that help improve the performance of NLP models in tasks such as sentiment analysis, text classification, and named entity recognition. Our Text Augmentation service has been employed across various industries, including finance, healthcare, e-commerce, and customer service, for applications like financial news analysis, medical record analysis, product review classification, and chatbot development.

Audio Augmentation

Enrich your audio datasets with our comprehensive Audio Augmentation service. Leverage advanced techniques to create diverse and high-quality training data for speech recognition and audio classification models.

Audio Augmentation is a powerful method for improving the quality and diversity of audio datasets used in speech recognition and audio classification models. By applying techniques like time stretching, pitch shifting, and adding background noise, we create new audio samples that enhance the robustness of machine learning models in various applications such as voice assistants, transcription services, and audio event detection. Our Audio Augmentation service has been employed in industries like telecommunications, entertainment, healthcare, and smart home technology for applications like voice command recognition, music recommendation, medical audio analysis, and sound-based security systems.

Use Cases for Custom Data Augmentation Development

Medical Image Analysis

Augmented image datasets can be used to train deep learning models for diagnosing diseases using medical images such as X-rays, MRIs, and CT scans.

Autonomous Vehicles

Data augmentation can improve the performance of machine learning models used in self-driving cars by providing diverse and robust training data for object detection, lane detection, and traffic sign recognition.

Finance

Provide instant support for account management, transactions, and financial advice, ensuring a seamless banking experience for customers.

Sentiment Analysis

Text augmentation can be employed to enhance the performance of NLP models for sentiment analysis, enabling businesses to better understand customer opinions and emotions about their products or services.

Voice Assistants

Audio augmentation can help improve the accuracy and performance of speech recognition models used in voice assistants like Amazon Alexa, Google Assistant, and Apple Siri.

Fraud Detection

Text augmentation can improve the performance of machine learning models that analyze transaction data for identifying suspicious activities and preventing financial fraud.

Music Recommendation

Audio augmentation can be used to train more robust and accurate music classification models, enhancing the performance of music recommendation systems.

Visual Product Recommendations

Image augmentation can be employed to train machine learning models for visual product recommendation systems, helping e-commerce platforms provide more accurate and personalized product suggestions.

Chatbot Development

Text augmentation can improve the performance of NLP models used in chatbots, resulting in more accurate and engaging conversational agents for customer support and sales.

Video Surveillance

Image augmentation can enhance object detection and tracking models used in video surveillance systems, improving the effectiveness of security cameras and monitoring systems.

Sound-based Security Systems

Audio augmentation can be used to train more accurate audio event detection models, enhancing the performance of sound-based security systems for applications like glass break detection and gunshot detection.

Data Augmentation & Synthetic Data Services in India 2026Image, Text, Audio & Tabular Dataset Expansion