6 October 2025
E-commerce Search Engine – Typesense Testing Guidelines
18 October 2025
14:44 MIN Read time BY
SHALET ABRAHAM
Every e-commerce platform needs search because it has a direct impact on how easy it is for customers to find things and how likely they are to buy. Online shops looking for reliable, high-performing search infrastructure are increasingly using solutions like Typesense, which gets praise for its quick, typo-tolerant, and pertinent search. Instant results, dynamic filtering, geo-search, synonyms, and customizable ranking are just a few of the features that Typesense offers to guarantee that users have a precise and easy time finding products. Because of this, creating a dependable and high-converting e-commerce website requires extensive Typesense search testing.
Understanding Typesense in E-commerce
Typesense is a fast, typo-tolerant search engine designed to deliver instant and relevant search results. Unlike traditional search tools, it focuses on providing real-time indexing, faceted search, and lightning-fast API responses, which are crucial for enhancing the user experience on e-commerce websites.
Its simplicity in setup and developer-friendly API make it ideal for QA teams to validate search accuracy and performance with minimal configuration effort. When integrated with product catalogues, Typesense helps ensure customers can filter, sort, and find desired products efficiently – even with spelling errors or incomplete queries.
Overview of Typesense and Its Role in E-commerce Search
Typesense is a fast and user-friendly open-source search engine built for speed, accuracy, and simplicity. It supports real-time indexing, typo tolerance, faceting, and filtering, making it ideal for e-commerce platforms. Customers expect fast and helpful outcomes when they search for products or apply filters in online stores. These demands are satisfied by Typesense, which provides prompt, precise results even in cases when users misspell words or utilize partial keywords.
By integrating Typesense, QA teams can make sure that search features continue to be dependable, scalable, and in line with user intent, which enhances conversions and the overall customer experience.
💡Case Studies: B2B E-commerce Application Testing
Why Typesense Matters in E-commerce
Because of its exceptional search performance and scalability, Typesense is highly valued in the e-commerce industry and can be used by businesses of all types, from little shops to massive marketplaces.
- Performance: Typesense manages enormous product catalogues with minimal latency, guaranteeing instant results and smooth, rapid consumer engagement throughout the purchasing process.
- Relevance: The engine’s ability to detect typos, manage synonyms, and allow ranking customisation guarantees that every query produces incredibly relevant product results, even when users enter errors or variants.
- Flexibility: Typesense easily integrates with a range of front-end implementations, e-commerce catalogues, and product APIs, enabling rapid deployment and continuous optimisation.
- Faceted Search: Customers may quickly narrow down possibilities for a more individualised browsing experience by filtering by qualities, such as category, price, brand, or rating, which is embedded into the system.
- Scalability: Typesense’s open-source design and lightweight infrastructure enable quick scaling and cost-effectiveness as your catalogue and traffic increase, whether you’re running a small business or a large global marketplace.
💡Case Studies: E-commerce Testing for Baby & Maternity Products Platform in Qatar
Functional Testing Guidelines
Testing Typesense in an e-commerce setup involves validating the complete search journey — from data ingestion and indexing to query execution and result rendering. Below are the key areas QA teams should focus on:
Indexing Validation
- Ensure all product data: titles, descriptions, categories, attributes, and prices—are indexed accurately.
- Mismatched or missing product fields should be caught early to avoid incomplete or failed search results.
Relevance and Ranking Checks
- Validate that the search engine returns the most relevant results, factoring in keywords, product popularity, stock status, and custom ranking rules.
- Review if featured products or promotional items are correctly prioritised.
Faceted and Filtered Search
- Verify filters for category, brand, price, colour, and others display accurate counts and work instantly, narrowing results as selected.
- Test for performance degradation with multiple or complex filter combinations.
Synonym and Typo Handling
- Confirm the engine is robust against common misspellings, abbreviations, or synonymous terms, returning the right products regardless of user input errors.
Autocomplete and Suggestions
- Check that predictive search and auto-suggestions are fast, contextually accurate, and relevant to entered queries.
Pagination and Infinite Scrolling
- Validate consistent result ordering between pages and correct loading for infinite scroll—ensure no duplicated, missing, or unordered results.
Multilingual Support
- Test search queries across supported languages/locales for correct translation and relevant result rendering.
Category and Brand Synchronisation
- Ensure category and brand data synced from external solutions (such as Occtoo) is reflected correctly, without loss or mismatch.
Edge Case Testing
- Include empty queries, excessively long input, special symbols, and mixed-case search – confirm Typesense remains stable and secure.
Integration Validation
- Verify seamless communication between Typesense, back-end APIs, and front-end components such as search bars and product listing pages.
Top 20 Test Cases for E-commerce Search Engine – Typesens
| Test Case ID | Test Scenario | Steps to Reproduce | Expected Result |
| TC01 | Validate product field indexing | 1. Prepare sample product(s) with all attributes (ID, title, description, price, stock).
2. Trigger Typesense indexing job or API call. 3. Query Typesense API for the product ID or title. 4. Inspect returned document fields. |
All product fields (ID, title, description, price, stock, attributes) are present and correct in the indexed document. |
| TC02 | Exact match search | 1. Ensure a product with exact name (e.g., “Hauck Strollers”) exists and is indexed.
2. Enter the exact product name in the search box. 3. Submit the search. 4. Observe top results. |
The exact product appears at the top of search results. |
| TC03 | Partial match search | 1. Ensure product “Strollers” exists and is indexed.
2. Type partial keyword (e.g., “Stroll”). 3. Submit search. 4. Verify returned items. |
Results include the intended product(s) (e.g., “Strollers”) and relevance is reasonable. |
| TC04 | Synonym-based search | 1. Configure synonyms in Typesense (e.g., “TV” ↔ “Television”).
2. Index documents using the canonical term (e.g., “Television”). 3. Search using the synonym (e.g., “TV”). 4. Validate results. |
Products using the canonical term appear for synonym queries. |
| TC05 | Typo tolerance check | 1. Index product “Strollers”.
2. Enter misspelled query (e.g., “Sortlles”). 3. Submit search. 4. Verify returned results. |
Typesense returns the correct product(s) despite misspelling. |
| TC06 | Relevance and ranking validation | 1. Index multiple similar products with different attributes (popularity, price).
2. Define ranking rules if applicable. 3. Run a common query returning those products. 4. Compare result order against ranking rules. |
Results are ordered according to configured ranking/relevance rules. |
| TC07 | Multi-keyword query validation | 1. Index products that match combinations of keywords (e.g., “red”, “bibs”).
2. Search for combined keywords (“red bibs”). 3. Inspect results for matches on both terms. 4. Check top results for relevancy. |
Results contain products matching both keywords, ranked appropriately. |
| TC08 | Facet and filter validation | 1. Index products with facets (brand, price, size).
2. Run a search and note total counts. 3. Apply a filter (e.g., price range or brand). 4. Verify result set and facet counts update. |
Filters refine results correctly and facet counts reflect applied filters. |
| TC09 | Filter persistence check | 1. Apply one or more filters on search results.
2. Navigate to page 2 or use infinite scroll to load more results. 3. Observe the applied filters on new content. 4. Verify results on subsequent pages. |
Selected filters persist across pagination/infinite scroll and results remain filtered. |
| TC10 | Autocomplete suggestion speed | 1. Open the search input and prepare a devtools/network timer.
2. Type a partial query (e.g., “Str”) and start timing. 3. Capture the time when suggestions appear (via UI or network response). 4. Validate suggestions’ relevance. |
Autocomplete suggestions appear within ~300ms and are relevant to input. |
| TC11 | Out-of-stock product behavior | 1. Mark a product as out-of-stock in backend and re-index.
2. Search for that product. 3. Observe product visibility and UI label/status. 4. Verify business rule (hide/flag/show with OOS label). |
Out-of-stock products follow business rules (hidden or shown with proper OOS indicator). |
| TC12 | Multilingual search validation | 1. Index localized titles/descriptions for multiple locales.
2. Switch website locale or submit locale-specific query. 3. Perform searches in each language. 4. Verify results match locale language. |
Search returns language-appropriate results for each locale. |
| TC13 | Advanced filter combination | 1. Index products with attributes (price, brand, color).
2. Search a base query. 3. Apply multiple filters (price + brand + color). 4. Verify returned subset meets all conditions. |
Combined filters return the correct subset of products matching all conditions. |
| TC14 | Special character handling | 1. Enter queries containing special characters or emojis (e.g., “kids+wear”, “shoes”).
2. Submit the search. 3. Monitor for errors in UI or API. 4. Inspect returned results. |
Search handles special characters gracefully — no crashes; shows relevant results or “no results” properly. |
| TC15 | No results behavior | 1. Enter a nonsense or non-existent query.
2. Submit search. 3. Observe the UI/UX when no items match. 4. Check for suggestions or alternative actions. |
“No Results Found” message displays clearly; suggestions or alternate actions (e.g., “Did you mean…”) appear if implemented. |
| TC16 | Sorting functionality | 1. Perform a search that returns multiple items.
2. Apply sort by price ascending. 3. Verify ordering. 4. Apply sort by rating or newest and verify ordering again. |
Sorting reorders results correctly for each sort option (price, rating, newest, relevance). |
| TC17 | Dynamic product updates | 1. Update product details (price, availability) in backend.
2. Trigger re-indexing or streaming update. 3. Search for the updated product. 4. Validate displayed product data. |
Search results reflect updated product data within expected propagation time. |
| TC18 | Duplicate result validation | 1. Index data that may create duplicate entries (same SKU, different IDs).
2. Search for the product keywords. 3. Inspect result list for duplicates. 4. Confirm duplication logic (if any). |
Duplicate products are not shown (or are grouped), and only unique, correct listings appear. |
| TC19 | Mobile responsiveness check | 1. Open site on a mobile device or emulator.
2. Perform the same search used on desktop. 3. Compare results, UI elements and behavior to desktop. 4. Verify touch interactions (filters, infinite scroll). |
Mobile search returns equivalent results and the UI behaves responsively and consistently with desktop. |
| TC20 | Category & brand sync validation (Occtoo → Typesense) | 1. Trigger a category/brand sync from Occtoo to Typesense.
2. Confirm sync completes and data is indexed. 3. Search for products by category/brand. 4. Inspect product documents for correct category & brand fields. |
Category and brand attributes are correctly synced and appear accurately in Typesense documents and search results. |
💡Case Studies: Seamless User Experience for an Eyewear eCommerce Platform
Common Bugs in E-commerce Search Engine – Typesense
The following are some of the most common bugs found during the validation of Typesense-facilitated e-commerce search functions, based on practical testing experience.
1. Missing or Incorrectly Indexed Product Attributes
Incomplete or incorrect search results may result from improperly indexed product fields, such as title, description, price, or stock status.
2. Irrelevant Results for Synonym or Typo-Tolerant Queries
Search results may return irrelevant products even when synonym mapping or typo-tolerance are enabled, which could negatively impact user experience and conversion rates.
3. Incorrect Facet Counts or Non-Updating Filters
When applied, filters for brands, price ranges, or categories may display incorrect product counts or not update constantly.
4. Autocomplete Showing Outdated or Discontinued Products
Autocomplete Displaying Discontinued or Outdated Items Sometimes, outdated or unavailable products are displayed in predictive search suggestions, confusing users and undermining their trust.
5. Duplicate Products Appearing in Results
Search results may become cluttered and less user-friendly if products with similar SKUs or multiple listings show up more than once.
6. Inconsistent Search Results Between Desktop and Mobile
mismatched results across platforms due to variations in data rendering, filters, or ranking algorithms between desktop and mobile devices.
7. Search Failures with Special Characters
If not handled correctly, queries with special characters (such as “Men’s T-shirt” or emojis) may fail or yield inaccurate results.
8. Incorrect Handling of Out-of-Stock Products
Users may become confused when discontinued or out-of-stock products show up at the top of search results.
9. Pagination or Infinite Scroll Issues
When using infinite scroll or page navigation, users may run into irregular ordering, missing items, or repeated products.
10. Ranking Rules Overridden After Index Updates
Results may appear out of order if custom ranking rules are inadvertently reset by product index updates.
11. Language-Specific Queries Returning Incomplete Results
For a given location, multilingual search might not yield all relevant products, which would limit accessibility for buyers from other nations.
12. Product Visibility Delays Due to Indexing Lag
The freshness of the information displayed to consumers may be impacted by the time it takes for recently added or modified products to show up in search results.
13. Category or Brand Attributes Not Displayed Correctly
Products that have sync problems with back-end systems like Occtoo may display missing or inaccurate category and brand information.
E-commerce success depends on having a well-optimised search engine, and Typesense provides a quick, adaptable, and easy-to-use solution. However, extensive testing spanning indexing, query handling, filters, ranks, and language support is necessary to guarantee its efficacy.
QA teams can provide a reliable and agile search experience that increases user happiness and boosts conversions by adhering to established functional testing rules, carrying out thorough test cases, and being aware of prevalent problems. Using Typesense testing techniques improves the overall shopping experience and increases product discoverability, which makes your e-commerce platform more effective and user-friendly.
6 October 2025
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