Memoria vs SerpAPI: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Memoria and SerpAPI — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Memoria
Anas
On-device photo and video search that indexes the text, speech, objects and faces in your library — no cloud, no account.
Key features
- On-Device OCR: Reads the text inside photos, screenshots, documents, whiteboards and video frames in seven languages, making every written word searchable.
- Local Whisper Transcription: Runs Whisper directly on the device to transcribe the speech in your videos across 99+ languages, so lectures, meetings and voice notes become searchable text.
- Face Detection and Clustering: Detects faces and groups them locally so you can pull up every photo of one person in a single tap, without any cloud face database.
- Object Recognition: Identifies objects in your library so queries like "red bicycle" return matching shots even when nothing was ever tagged.
- Unified Full-Text Index: Combines text, speech, objects and people into one instant search index that lives entirely on the phone.
- Background Indexing: Keeps indexing while the app is closed and prioritises work while the device is charging, so a large library finishes without you babysitting it.
- Zero-Account Privacy Model: No sign-up, no upload and no tracking — analytics are anonymous and opt-out, and the app is GDPR-safe by having nothing to collect.
- One-Time Purchase Unlock: Memoria Plus removes the 250-media indexing cap forever with a single payment processed by Apple or Google, including future on-device models.
Best for
- Finding a Document You Photographed: Recovering an invoice, bill or receipt you snapped months ago by searching the words printed on it rather than scrolling the camera roll.
- Searching Recorded Lectures and Meetings: Locating the moment a specific term was spoken inside a long video by searching the on-device transcript.
- Pulling Every Photo of a Person: Assembling all shots of one friend or family member from a clustered face group for a birthday album or share.
- Recovering Saved Screenshots and Memes: Tracking down a screenshot or meme by the text written on it instead of guessing when you saved it.
- Working Offline or While Travelling: Searching a full media library on a plane or with no signal, since indexing and search never require a network.
- Keeping Sensitive Media Off the Cloud: Making a library of personal, medical or client photos searchable without uploading any of it to a third-party service.
SerpAPI
SerpApi
Real-time search API that retrieves and parses search engine results while handling proxies and captchas.
Key features
- Real-Time Search API: Provides on-demand HTTP endpoints that return parsed search results in JSON for multiple engines (Google, Bing, Baidu, Yandex, Yahoo, eBay, App Stores and more).
- Captcha & Proxy Management: Automatically handles proxy rotation and captcha resolution to maintain reliable scraping at scale without requiring users to manage anti-bot infrastructure.
- Rich Structured Parsing: Extracts and normalizes rich result types (organic results, maps, shopping, news, images, knowledge panels, hotels, flights, app store listings) into consistent, machine-readable JSON fields.
- Official SDKs and Wrappers: Maintains official client libraries for Python, JavaScript/TypeScript, Ruby, Go and others to simplify integration, asynchronous requests, and persistent connections for improved performance.
- Engine-Specific Parameters: Supports granular query parameters (q, location, hl, gl, check_in/check_out for hotels, currency, adults, etc.) to reproduce localized and feature-rich search responses.
- Scale & Performance Features: Offers asynchronous search options, persistent HTTP connections, and client-side configuration (timeout, persistent sockets) to optimize throughput and latency for bulk or real-time use.
- HTTP REST API returning parsed JSON for search results
- Supports multiple engines: Google, Google Maps, Google Shopping, Bing, Baidu, Yandex, Yahoo, eBay, App Stores, etc.
- Proxy management and automated captcha solving included
- Official client libraries/wrappers: Python (pip install serpapi), JavaScript/TypeScript (npm/yarn), Ruby (gem), C++, Go, and more
- Configurable HTTP client options: async mode, persistent connections, request timeout
- Support for specialized search endpoints (maps, shopping, hotels, news, flights, stock data, autocomplete)
- Asynchronous search patterns and search-at-scale considerations (persistent sockets)
- Parses and exposes rich structured data (organic results, local results, shopping results, knowledge panels, etc.)
Best for
- RAG Data Retrieval: Provide up-to-date search results and structured snippets to augment LLMs and retrieval-augmented generation pipelines with live web signals.
- SEO Monitoring & Competitor Research: Continuously collect organic rankings, SERP features, knowledge panels, and shopping results for keyword and competitor tracking across regions and locales.
- Price and Product Comparison: Aggregate product listings and shopping results from multiple locales and engines to power price-tracking dashboards or e-commerce comparators.
- Local Business & Maps Data Extraction: Collect Google Maps listings, reviews, addresses, and hours for local SEO, business directories, or listings verification workflows.
- App Store & Marketplace Monitoring: Scrape app store listings, rankings, and reviews programmatically to detect changes, monitor releases, or feed analytics systems.
- News & Trend Aggregation: Pull headlines, news snippets, and topic clusters from search engines for media monitoring, alerting, and content discovery systems.
- Integrating live search results into applications, dashboards, or agents
- Collecting structured SERP data for SEO monitoring and analytics
- Feeding search results into RAG/fine-tuning pipelines or AI agents
- Aggregating maps, shopping, hotels, news, and marketplace data programmatically
- At-scale scraping where proxy rotation and captcha handling are required