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CLUSTER DOCUMENTS-WEB-SENTIMENT · 12 ENTRIES · EARLIEST ENTRY 2026-08-11

Document text analysis apps

This cluster comprises web applications that extract text from uploaded documents and provide linguistic and statistical analysis, including summarization, sentiment analysis, keyword tagging, entity extraction, reading level, and document comparison. The cluster's dated history is too thin to read a shape from, with only one dated entry prior to the index start, indicating it either predates the index or its members lack source dates. The most active products are Multi-Format-Document-Analysis and DocsScanAI, based on star ratings.

Entry timeline

ENTRY TIMELINE

JAN 2026: 1AUG 2026: 3SEP 2026: 6OCT 2026: 2
JAN 2026OCT 2026

Each bar is the month a member carries, which is a creation date where the source published one and a crawl date otherwise. Nothing in the index was found before 11 August 2026, and coverage broadened sharply on 14–15 August, so a bar from then on reports how much we found that month, not how much was built; an earlier bar reports how far back a member's own source dated it — not how long we have been watching.

Members by activity

Activity signals, not revenue.

Build origin · 3 ai-built · 1 hand-coded · 8 unlabelled

Operator · 7 hobby · 5 unlabelled

Two labels per entry, never collapsed into one: how it was built, and who stands behind it. Counted over the 12 listed below. Unlabelled means nothing has decided yet — not that the answer is small.

  1. 01semaino2★10 days—hobbyWeb application that performs named entity recognition, part-of-speech tagging, dependency parsing, and morphological analysis of Greek texts locally for researchers and linguists.
  2. 02Multi-format-Document-Analysis2★19 days—hobbyWeb application that extracts text from documents and provides linguistic and statistical analysis including summarization, sentiment,and keyword tagging.
  3. 03Multi-Format-Document-Analysis2★19 days—hobbyWeb app that extracts text from uploaded documents and provides linguistic analysis, summarization, sentiment, and keyword visualizations.
  4. 04klovertech_document_parser0★21 days—hobbyDocument processing app that extracts text from uploaded documents, detects the source language, and translates non-English content to English.
  5. 05StreamLitApp_Maylen0★27 days—hobbyWeb app that analyzes uploaded documents by summarizing, extracting entities and keywords, answering questions, and comparing two documents.
  6. 06.Connect0★10 days—Web app that processes and analyzes documents to extract insights using natural language processing.
  7. 07nlp_linguistic_dashboard0★25 days—hand-codedhobbyWeb app that performs linguistic analysis on user text, including named entity recognition, part-of-speech tagging, and dependency parsing.
  8. 08ai-analyzer-poulami960★2 mo—hobbyWeb app that analyzes text and uploaded documents for sentiment, keywords, summaries, reading level, and extracted entities.
  9. 09Context-Clue0★9 mostaleliveai-builtWeb app that analyzes text for sentiment, themes, and context, with speech-to-text conversion, text-to-speech playback, and analysis history tracking.
  10. 10IT Text Analyzer0★unknownliveai-builtWeb tool that analyzes IT-related text input to extract categorization, key terms, or other insights.
  11. 11Document Generation and Analysis0★unknownliveai-builtWeb tool that generates documents from user input and analyzes existing documents to extract information or summaries.
  12. 12txtann0★unknownliveWeb app that lets users annotate and label text documents for review or analysis.

Ranked by traction, highest first, and paged 20 at a time — this is a window on the cluster, never the whole of it. Ties are broken by a stable id so a product cannot appear on two pages or fall between them. Browse every cluster.