How to Summarize Long Text with AI Without Losing Meaning
A practical long-text summary workflow that maps structure, controls chunking, preserves uncertainty, and verifies important claims before the output is used.
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AI Summaries
Articles tagged AI Summaries in the TextSummary.com Summary Lab.
PDF Text Summary Workflow: OCR, Layout, Tables, and Citations
A page-aware PDF summary workflow for digital text, scans, OCR, columns, tables, figures, citations, and sensitive documents.
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Book Summary Method for EPUB, MOBI, and Long Ebooks
A chapter-map method for summarizing nonfiction arguments and fiction narratives across EPUB, MOBI, and other long ebook formats.
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URL and Article Summary: From Web Page to Reliable Notes
A provenance-first method for extracting the main article, excluding page clutter, preserving evidence, and turning URLs into durable notes.
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Podcast and Video Transcript Summary Workflow
A speaker-aware, timestamped method for turning noisy transcripts into episode briefs, meeting records, lecture notes, and tutorial summaries.
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Email and SMS Summary for Busy Teams: Decisions, Owners, and Privacy
A privacy-aware method for summarizing long email threads and SMS conversations into status, decisions, requests, owners, deadlines, and open questions.
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AI Summary Prompts for ChatGPT, Claude, and Open Models
Build model-neutral summary prompts with clear source boundaries, audience, output schemas, examples, uncertainty rules, and evaluation cases.
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Text Summary API Design: Tokens, Chunking, JSON, and Decisions
A model-neutral design for summary APIs with explicit contracts, token budgets, semantic chunking, structured JSON, decision fields, errors, and evaluation.
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Python CLI Text Summarizer: A Reproducible Local Workflow
Design a reproducible Python command-line workflow for text extraction, chunking, model calls, structured output, logs, testing, and local privacy controls.
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How to Evaluate an AI Text Summary: Accuracy, Coverage, and Decision Value
A practical evaluation rubric for factual fidelity, coverage, relevance, evidence traceability, uncertainty, format compliance, and decision usefulness.
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