# 3️⃣ Summarize with Gensim (install via pip) pip install gensim nltk python - <<'PY' import nltk, sys from gensim.summarization import summarize
with open('thamil.txt', encoding='utf-8') as f: text = f.read() thmyl ktab almlywnyr fy albyt almjawr pdf mktbt nwr
It sounds like you’re looking for a way to work with the PDF of ** “Thamyl — Kitāb al‑Malyūnīr fī al‑bayt al‑maǧawir” (مكتوبة نُور)** — perhaps to read, search, translate, or get a quick overview of its contents. # 3️⃣ Summarize with Gensim (install via pip)
Tip: If the PDF is scanned (image‑based), run OCR first (see section 2) so the summarizer can read the text. If the file is a scanned image, you’ll need Optical Character Recognition (OCR) to turn the pictures of text into real, selectable characters. Below are some practical
Below are some practical, copyright‑respectful options you can try, depending on what you need most: | Tool | How to Use | What You’ll Get | |------|------------|-----------------| | Built‑in PDF viewers (Adobe Acrobat Reader, Preview on macOS) | Open the PDF → look for a Bookmarks pane or a Table of Contents (often embedded by the publisher) | A high‑level outline of chapters/sections | | Online summarizers (e.g., SMMRY, Scholarcy, ChatGPT “summarize PDF” plug‑ins) | Upload the PDF (or a few pages) → request a summary | A concise paragraph or bullet list of the main points | | Desktop summarizer apps (e.g., AutoSummarizer , Gensim script) | Run the app locally on your machine → feed the PDF → set a target summary length | Custom‑length summary without sending your file to a third‑party server |
# 2️⃣ Extract text pdftotext thamil_ocr.pdf thamil.txt