# SNEWPapers

> SNEWPapers is the world's first AI-powered historical newspaper archive: 6M+ stories (1730s-1960s) with clean OCR, article summaries, semantic search and The Sleuth research assistant for fast, shareable historical discovery.

- Type: AI tool
- Page: https://completeaitraining.com/ai-tools/snewpapers/
- Published: 2026-04-25
- Updated: 2026-04-28
- Author: Jeroen Erne
- Jobs: Education, Science and research, Writers
- Topics: Research
- Reading time: 2 min

### About SNEWPapers

SNEWPapers is an AI-powered historical newspaper archive that provides searchable access to more than 250 years of American newspapers and over 6 million extracted stories. The service separates ads from article content, delivers improved full-text OCR results, and offers semantic search plus an AI research assistant for targeted queries and collections.

### Review

SNEWPapers tackles a common problem with historical newspapers: poor searchability and low-quality text extracts. By processing large-scale archival material and offering semantic search and an assistant called the Sleuth, it aims to make historical articles easier to find and use for research, teaching, and personal inquiry.

#### Key Features

- Extensive archive: 250 years of U.S. newspapers and 6M+ extracted stories with article-level segmentation.
- Full-text OCR and cleanup: near-complete text extraction for many issues, with ads separated from editorial content.
- Semantic search and AI assistant (Sleuth): search by meaning, ask follow-up questions, and retrieve full article text.
- Categorization and collections: 24 categories with 1,000+ subcategories, plus user-created collections for sharing.
- "Today in History" feed and tutorials for quick exploration and onboarding.

#### Pricing and Value

The product page lists a 7-day free trial and subscription plans, with pricing positioned significantly lower than many traditional newspaper archives. Early promotional discounts were offered at launch; overall the service is pitched as a cost-effective alternative for users who need improved searchability and usable text output rather than raw scans alone.

#### Pros

- Large, focused corpus with article-level extraction that supports semantic queries.
- AI assistant and semantic search reduce time spent locating relevant material compared with keyword-only archives.
- Cleaner OCR and ad/content separation make quoted passages and citations more reliable.
- Collections and categorization support collaborative research and teaching workflows.
- Accessible onboarding tools like tutorials and a daily history feed help users get started quickly.

#### Cons

- Current coverage is concentrated on U.S. newspapers from the 18th to mid-20th centuries; international and non-Latin scripts are limited for now.
- Extremely degraded or incomplete scans sometimes remain unreadable despite processing improvements.
- Full extraction and advanced features are behind a subscription, which may limit casual users who only need occasional lookups.

For researchers, historians, genealogists, educators, and students who need reliable article-level access and semantic search across historical U.S. newspapers, SNEWPapers is a practical and time-saving tool. It works best when you want usable full text and organized collections rather than raw page images, and when your focus falls within its current archival coverage.

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