Metro cities to small towns
Photos from real streets, shops and homes across India.

Get photos taken by real people on their own phones across India: local products, street scenes, signs in Indic scripts and everyday places. Approve only the images that fit your brief.
Photos from real streets, shops and homes across India.
Approve the images that match your brief and reject the rest.
Photo tasks usually receive the first submissions within hours of going live.
200+
Countries
13,487
Tasks posted
195,000+
Workers available
~4 Hours
Average time to first results
Models trained on Western product catalogs and street photos fail on Indian signs, packaging and scenes. Collect the photos that close that gap.
Shop boards, road signs and menus mix Devanagari, Tamil, Bengali, Telugu and English, often on the same street.
Indian brands, kirana shelves and handwritten price tags look nothing like global catalog photos.
Harsh sun, deep shade, dust, glare on glass and budget phone cameras. Collect the photos your users will actually take.
A market in Mumbai and a shop lane in a smaller city are very different scenes. Ask for both in one task.
Signs, packaging, menus and receipts across India use these scripts. Ask contributors to photograph them and type exactly what the text says.
Coverage depends on the contributors who take your task. If you need a less common script or city, start with a small test.
Write the task once in English. Contributors in different cities photograph a real sign and type exactly what it says.
Photograph the nearest shop sign and type exactly what it says.
HindiDelhi
ताज़ा सब्ज़ी
HinglishMumbai
Fresh Juice · ₹40
TamilChennai
புதிய காய்கறிகள்
BengaliKolkata
তাজা সবজি
Write one brief in English: what to photograph and what to type.
Choose India and describe the cities, shop types or scripts you need.
Review each photo together with the text the contributor typed.
Set up a task for the photos your computer vision model needs. People across India follow your instructions and shoot on their own phones.
People photograph snacks, medicines, tools and household goods on kirana shelves, in markets or at home. Ask for several angles so your model sees real packaging, not studio shots.

Contributors photograph their own receipts, bills, menus and printed forms in Hindi, English and regional languages, folded, faded or shot at an angle.

People write words, numbers or sentences you provide on paper and photograph them. Every writer has a different hand, pen and paper.

Get photos of roads, markets, kitchens, shops and public spaces from the cities you choose. Useful for scene recognition, mapping and robotics.

Contributors photograph shop names, road signs, banners and price boards in their own city, and type the text they see.

Ask for photos in harsh sunlight, low light, rain, glare or motion blur, taken on budget phones. Train your model on the conditions it will meet.

Ask contributors to describe each photo or type the text on the sign. You get images with context, ready for labeling or training.
Your setup
Choose Image collection and India, set how many photos each person sends and describe what to shoot and which script to use for the text.
Your view
Each submission arrives with the photos and a description in Devanagari, another Indic script or Latin letters, ready to review.
Traditional vendors sell fixed photo volumes through long contracts. On RapidWorkers you test a small set first and scale once the images are right.
What to check
Typical image data vendor
RapidWorkers
Start
Proposal, contract and onboarding
Create an image task and launch the same day
Minimum order
Often thousands of images up front
From $0.30 per campaign
Pricing
Quote per image or per project
You set the pay per submission
Pilot
Usually a separate paid phase
Test with 20 photos first
Quality control
Vendor shoots and checks the set
You review every photo, or we manage it
Scale
New contract for more images
Extend the same task
Every photo comes from a real person in India who chose to take your task and knew what it was for. No scraped images and no unknown sources.
Your task explains what people will photograph and that the images will be used to train AI. They read it before they accept.
Contributors are adults who choose to take your task. Nobody is assigned, and each person uploads photos on their own.
Ask contributors not to capture faces, names or card numbers. If a photo can identify a person in India, plan your project in line with the Digital Personal Data Protection Act, 2023.
Launch image tasks on the platform, or hand the whole project to our team.
Self-serve
Create a task, choose India, describe what to photograph and review every photo yourself.
Create an image task for IndiaFully managed
We plan city and subject coverage, recruit contributors across India, check photos and labels and deliver the dataset in your format.
Talk to usYou set the pay per submission in US dollars. Start with a small pilot to check speed and photo quality in each city. The 15% platform fee is included.
Yes. Create an image task, choose India and describe what to photograph. Contributors across India take the photos on their own phones and upload them.
Products and packaging, receipts and documents, handwriting, streets and places, shop signs and photos in hard conditions like low light or glare.
Yes. Ask contributors to photograph signs, menus or packaging and type the text in Devanagari, Tamil, Bengali or another script.
Workers are targeted by country. Name the city, state or type of area in your instructions and reject photos that do not match.
You decide. Set the number of files per submission, for example five angles of one product. Each contributor completes your task only once.
Yes. Ask contributors to describe each photo or type the text they see, and every submission will include images and text.
You set the pay per submission, starting from $0.10, plus a 15% platform fee. A campaign starts from $0.30.
State in your instructions that faces, names, phone and card numbers must not appear, and reject photos that break the rule.
Yes. Our team can plan city and subject coverage, recruit contributors, check photos and labels and deliver the dataset.