Identify Item Name, Price, and Location from OLX Screenshots
Manually opening each OLX listing and typing the item name, price, and location into a spreadsheet takes about 3 minutes per ad — this pulls all three fields from any screenshot in under 10 seconds, across any OLX country market, in any currency or language.
5-10s per screenshot · Up to 99% accuracy on printed text
Three Fields You Can Identify from Any OLX Screenshot
OLX listing screenshots use a card-based layout that is remarkably consistent across all 30+ country markets — a bold title at the top, a prominent price with currency, and a location line near the bottom. With Custom Column Extraction, the AI identifies each field by its role in the listing card, not its screen position or label language. Whether the screenshot comes from India, Brazil, Poland, or Portugal, the same three column names extract the same three data points.
Each OLX listing card follows the same visual structure: a product photo on the left or top, a bold item title, a clearly marked price with currency symbol, and a location line at the bottom. The AI is trained to recognise this structure across all OLX country domains, so you never need to adjust column names or field mappings between batches from different markets.
The listing title — typically the largest bold text in the card, describing the product being sold. Examples include "iPhone 13 128GB" on OLX India or "Sofa de couro" on OLX Brazil. The AI finds this text by its prominence and position in the card structure, regardless of language.
The asking amount with currency symbol — ₹ for India, R$ for Brazil, zł for Poland, € for Portugal and Romania. The AI identifies the price by the currency context and numeric value, preserving the original formatting including comma or period decimal separators.
City, neighbourhood, or area — hyper-local and typically at the card bottom. Format varies by country: "Mumbai, Maharashtra" in India, "Zona Sul, SP" in Brazil, "Warszawa, Mokotów" in Poland, or simply "București" in Romania. The AI reads whatever location text appears without enforcing a standard format.
Type these three as column names. The AI reads each field by card structure across markets, currencies, and languages.
Same OLX Card Layout, but the Currency and Language Change Across 30+ Countries
An OLX screenshot from Mumbai shows ₹2,500 where a screenshot from São Paulo shows "R$ 150,00" and one from Warsaw shows "200 zł" — each using the same card template but different currencies, languages, and location formats. Here is why that breaks traditional OCR and how semantic reading handles it seamlessly across all OLX markets.
The card layout stays the same whether you browse OLX India (olx.in), OLX Brazil (olx.com.br), OLX Poland (olx.pl), or OLX Portugal (olx.pt). Only the currency symbol, language, and location format change — the visual model adapts to each market automatically.
Why OLX Screenshots Break Traditional OCR
The price zone is shared with different currency symbols and formatting conventions. OLX India shows "₹2,500" while OLX Brazil shows "R$ 150,00" (using a comma as decimal separator) and OLX Poland shows "200 zł" with the symbol after the number. Traditional OCR reads all text in that zone and cannot distinguish which format to expect or which string is the actual price among nearby label text.
Location is a free-text string with no standard format across countries. An Indian listing shows "Mumbai, Maharashtra" with city and state, while a Romanian listing shows just "București" and a Portuguese listing shows "Lisboa, Parque das Nações" with neighbourhood detail. Template-based tools fail when the location format shifts unpredictably between markets.
OLX interface language varies by country — Portuguese, Hindi, Polish, Romanian, Ukrainian, and more. The label next to the user name changes, the "Posted on" date format shifts, and action button text reads differently in each language. Language-aware OCR requires separate training data for each locale; semantic extraction reads past the labels to find the actual content.
How Semantic Extraction Reads Across Currencies and Languages
Name the fields — the AI finds prices by currency context, not position. Type Item Name, Price, Location. The visual model identifies the bold card title as the Item Name, reads the numeric value near ₹/R$/zł/€ as the Price, and finds the location text at the card bottom regardless of whether it says "Mumbai" or "București".
One column definition works across ₹, R$, zł, €, and more markets. Upload a mix of OLX India, OLX Brazil, OLX Poland, and OLX Portugal screenshots into the same batch. The AI reads each independently — recognising the Indian Rupee sign from the Brazilian Real prefix by its symbol context — and outputs clean currency-prefixed values in the Price column.
Process gallery screenshots alongside fresh captures from any country. A screenshot from last week's OLX India search still works even if the listing URL is dead. Mix mobile app cards from Brazil with web browser captures from Poland in one batch — the AI adapts to each layout and language independently.
From OLX Screenshots Across Countries to One Consolidated Spreadsheet
Whether you are comparing prices across OLX markets, tracking items you have listed in different countries, or archiving completed transactions from multiple regions, here is how the extraction workflow turns your screenshot collection into a structured multi-country record in minutes, not hours.
Upload Your OLX Screenshots — Mix Countries and Formats Freely
Drop in the captures from your gallery — mobile app listing cards from OLX India, web browser screenshots from OLX Brazil, detail pages from OLX Poland, or search results from OLX Portugal. PNG, JPG, or WebP from any device. Mix screenshots from different OLX country domains in the same batch — no sorting by market needed beforehand. The AI detects and processes each screenshot independently, applying the same column definitions to every image regardless of its source market.
Define the Three Fields You Need
Type the columns for your tracking spreadsheet: Item Name, Price, Location. The AI reads each screenshot independently — an OLX India card yields "iPhone 13 128GB" with "₹2,500" and "Mumbai, Maharashtra"; an OLX Brazil card yields "Sofa de couro" with "R$ 150,00" and "Zona Sul, SP". Fields that do not appear on a given screenshot remain blank. The same three column names work for every OLX country market without modification.
Export a Consolidated Multi-Country Spreadsheet
Processing takes 5-10 seconds per screenshot — about 18x faster than opening each image and typing the fields manually. The output is one XLSX or CSV file with the columns you defined. Filter by currency to compare Indian Rupee prices against Brazilian Real prices. Sort by Item Name to find the same product listed across different OLX markets. Export directly to Excel or push to Google Sheets via the add-on for ongoing cross-country tracking and analysis.
When OLX Screenshot Extraction Works Best — and When to Be Cautious
When It Works Best
Full-resolution native screenshots of single listing cards or detail pages. Machine-rendered text from the OLX mobile app or website reaches up to 99% accuracy for fields like Item Name and Price.
Mixed-country and mixed-currency batches. OLX India, Brazil, Poland, and Portugal screenshots processed together — the AI adapts to each currency symbol and location format independently per screenshot.
Gallery screenshots of listings no longer live on the site. Since the AI reads the visual output, a saved screenshot captures all three fields even after the listing URL expires or the ad is removed from OLX.
Mobile app and web captures in the same batch. OLX mobile app uses a compact card layout while the web version shows a full listing page — the AI handles both formats automatically, so you can mix phone gallery screenshots with desktop browser captures without pre-sorting.
When to Be Cautious
Screenshots forwarded through messaging apps. WhatsApp, Telegram, and Messenger compress images, reducing accuracy for smaller text like location labels. Use native camera roll or gallery screenshots for best results.
Search result screenshots showing multiple listing cards. The AI reads the most visually prominent card in the frame. For clean per-item extraction, capture each listing individually from its detail or single-card view.
Photos of a screen taken at an angle. Glare and perspective distortion reduce accuracy for text-heavy fields. Capture native screenshots on your phone or computer for the best results every time.
Frequently Asked Questions
Can I extract data from OLX screenshots from different countries — India, Brazil, Poland, Romania — in the same batch?
Yes. The AI processes each screenshot independently against your column definitions. An OLX India listing showing ₹2,500 and an OLX Brazil listing showing R$ 150,00 are both read for the same fields — Item Name, Price, Location — using the same semantic column names. Every screenshot becomes a row in the same spreadsheet, regardless of country, currency, or language. This makes cross-market price comparison and multi-country inventory tracking straightforward.
How does the tool handle different currencies — Indian Rupee (₹), Brazilian Real (R$), Polish Zloty (zł), and Euro (€) — in OLX screenshots?
The AI reads the currency symbol alongside the numeric value and preserves it in the Price column. An OLX India screenshot returns ₹2,500, an OLX Brazil screenshot returns R$ 150,00, an OLX Poland screenshot returns 200 zł, and an OLX Portugal screenshot returns €45. The column contains the raw display text as shown on the screenshot, including the currency symbol and local formatting (commas versus decimal points, symbol before or after the number), so you can filter or convert across markets in your spreadsheet.
Does it work with both mobile app screenshots and web browser screenshots from OLX?
Yes. OLX serves both mobile app listing cards (iOS and Android) and web-based listing pages, and the AI adapts to each layout independently. A mobile app screenshot typically shows a compact card layout with the item photo, title, price, and location stacked vertically. A web browser screenshot may include the full listing page with navigation bars, side panels, and additional seller information. Both formats are read for the same fields — Item Name, Price, and Location — using the same column definitions, so you can freely mix app and web captures in a single batch.
The Location format varies across OLX markets — some show "Mumbai, Maharashtra" while others show just "Lisboa" or "București". Can the tool handle this?
Yes. The AI extracts whatever location text is visible on the screenshot without imposing a standard format. OLX India shows city and state (e.g., "Mumbai, Maharashtra"), OLX Brazil shows neighbourhood and state abbreviation (e.g., "Zona Sul, SP"), OLX Portugal shows city or parish (e.g., "Lisboa, Parque das Nações"), and OLX Romania shows just the city name (e.g., "București"). The Location column reflects the raw text as it appears — you can standardise it later in your spreadsheet using formulas, lookups, or split functions.
Can I extract data from saved gallery screenshots of expired or removed OLX listings?
Yes — this is one of the key advantages of screenshot-based extraction over web scraping. Since the AI reads the visual output of the screenshot, a saved image from your gallery captures all visible fields even after the listing has been removed from OLX or the URL has expired. This works for both mobile app screenshots and web captures stored in your camera roll, making it possible to archive and organise listing data from past searches that are no longer accessible on the platform. It is a reliable way to maintain long-term records of products, prices, and seller locations over time. This is especially useful for price tracking studies, tax documentation, and marketplace arbitrage research where historical listing data matters even after the ads come down.
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Deep dives: Batch processing marketplace screenshots into a single spreadsheet · General guide to extracting data from screenshots