Memoria vs Numerous.ai: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of Memoria and Numerous.ai — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

Memoria

Anas

Freemium

On-device photo and video search that indexes the text, speech, objects and faces in your library — no cloud, no account.

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.

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.

Freemium

A spreadsheet plugin that embeds ChatGPT into Google Sheets and Excel to extract text, categorize data, and generate formulas.

Chat Integration: Embed ChatGPT-style conversational prompts directly in Google Sheets and Excel cells to query, transform, and generate content from spreadsheet data.
Formula Generation: Automatically produce complex spreadsheet formulas from natural-language descriptions, reducing time spent crafting and debugging formulas manually.
Text Extraction and Categorization: Extract structured text from messy cells, categorize free-form responses (e.g., survey replies), and populate consistent labels across rows.
Batch Processing: Apply transformations, prompts, or categorization rules across entire ranges or columns to automate repetitive data-cleaning and classification tasks.
Summaries and Natural-Language Reports: Generate row-, column-, or sheet-level summaries and human-readable explanations of datasets for faster insights and reporting.
Cross-platform Support: Works inside both Google Sheets and Microsoft Excel, enabling teams to use the plugin across common spreadsheet environments.
Bring ChatGPT functionality directly into Google Sheets and Excel
Extract text from spreadsheet cells using natural-language prompts
Categorize and label rows or cells based on content
Generate spreadsheet formulas and functions via natural language
Enable in-sheet AI-assisted data-cleaning and analysis

Survey Analysis: Automatically categorize open-ended survey responses into topics or sentiment labels and create summary counts within the spreadsheet.
Formula Assistance: Convert a plain-language calculation request into a working spreadsheet formula (e.g., VLOOKUP, INDEX/MATCH, nested IFs) to accelerate spreadsheet building.
Data Cleaning: Extract and standardize text from inconsistent cells (addresses, product descriptions, notes) across large ranges using natural-language prompts.
Report Generation: Produce executive-ready summaries and written explanations of sales, financial, or operational data directly from sheet data.
Bulk Labeling: Apply consistent tags or classifications to thousands of rows (e.g., product categories, customer types) with a single prompt and range selection.
Ad-hoc Analysis: Ask natural-language questions about a dataset (e.g., 'Which regions underperformed last quarter?') and receive interpreted results or formulas inserted into the sheet.
Automatically extract structured information from messy text in cells
Categorize product descriptions, support tickets, or survey responses
Generate or suggest Excel/Sheets formulas based on plain-language requests
Accelerate spreadsheet data-cleaning and transformation tasks
Embed conversational or generative assistance into spreadsheet workflows