Summarization · Text mining · PDF extraction

# Turn research papers into structured insights in seconds.

Summara uses text summarization and mining to extract abstracts, keywords, entities, and citations from PDFs — so researchers and students can triage literature faster and build knowledge bases without manual copy‑paste.

Launch console Explore features

UI-only prototype — connect your summarization and NER models, PDF parser, and storage later.

Sample extractions Demo
Smith et al. 2024 — Deep learning for NLP Extractive summary · 12 keywords · 8 entities · 34 refs
Done
Chen & Lee 2023 — Transformers in healthcare Abstractive summary · 9 keywords · 5 entities · 21 refs
Processing
Garcia et al. 2024 — Survey on summarization Keywords in queue · entity extraction pending
Queued

## Built for researchers, labs, and literature review.

Summara focuses on one thing: turning dense PDFs into compact, searchable summaries and mined data you can actually use.

### Automatic summarization

Extractive or abstractive summaries per paper. Configure length, style, and language so your literature reviews stay consistent.

### Keyword & entity extraction

Mine keywords, named entities, methods, and datasets. Build topic taxonomies and find connections across your corpus.

### Citation & reference parsing

Extract citations and references to build citation graphs, track influence, and spot key papers in your domain.

### How it works

#### Upload PDFs

Add papers individually or in bulk. Support for PDF, and optionally DOI lookup for metadata.

#### Run summarization & mining

Choose extractive or abstractive summarization, keyword extraction, NER, and citation parsing.

#### Review & export

Edit summaries, refine keywords, and export to CSV, JSON, or your research management tool.

#### Query & analyze

Search across papers, filter by topic, and use reports to understand corpus composition and trends.

## Ready to mine your literature?

Open the console and explore documents, summarization, text mining, and reports — all UI-only, ready for your models later.

Open console

## Want to develop the full-scale version?

This demo showcases core features. If you need a production-ready text summarization and mining platform for research papers with PDF ingestion, extractive/abstractive summarization, NER, citation graphs, and reporting—kindly contact us at our Facebook page for full-scale development.

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