Condense any PDF into bullet, paragraph, or executive summaries with native text extraction plus LLM condensing. Analysts digest a 50-page report over coffee — 1 credit per summary, sign in free. Most processing runs locally; specific features use cloud AI.
Runs on PDF.js
Content reviewed October 2026 · About Toolzum
Turn a job description plus your resume into a tailored cover letter that mirrors the employer's keywords. Applicants generate a first draft in a minute — 1 credit per letter, sign in free for 5.
Chat with PDFs, Word files, and text docs using RAG: files index into a vector store and you ask natural-language questions. Researchers query 50-page reports in seconds — sign in free, 1 credit per answer.
Translate text between 16 languages with automatic source detection via the AI API. Bloggers localize a 500-word post in seconds — 1 credit per translation, sign in free for 5.
Restructure raw video transcript logs into scripts, articles, or outlines with AI — paste the dump, pick a format. YouTubers convert a 20-minute video log into a blog post in one pass — 1 credit per cleanup.
Clean up messy audio transcript dumps into readable articles or scripts with AI — paste raw text, pick article or script format. Podcasters turn 5,000 garbled words into publishable copy — 1 credit per cleanup.
Up to about 50 pages of native-text PDF per run at 1 credit — a 48-page report returns bullets, key arguments, and action items in under a minute. Longer documents split into two runs (part 1, part 2), then combine the bullet lists yourself.
Text is extracted locally with PDF.js, then sent to the AI API for condensing and deleted after processing — files are never stored permanently. Provider-side request logging may apply, so redact financial passwords and personal IDs from sensitive documents first.
Bullets for revision and meeting prep, paragraph for reports that need flow, executive summary for leadership updates. A practical habit: bullets first for understanding, then regenerate as executive summary to forward — 2 credits total for both views.
Only after OCR — the summariser reads embedded text, not images of text. Run scans through an OCR tool first, verify the extracted words, then summarise. Blurry scans produce confident-sounding but wrong summaries, so check key figures against the original pages.
Use it for understanding, not quoting: verify every figure and quote against the source pages before citing. Summaries compress faithfully but occasionally merge adjacent facts — a 2-minute spot-check of the 3 numbers you cite prevents embarrassment.
AI Chat PDF
Chat with any PDF: ask questions, get answers, and extract insights with intelligent in-browser search. Students quiz a textbook chapter in minutes — free to start.
AI Document Chat (RAG)
Chat with PDFs, Word files, and text docs using RAG: files index into a vector store and you ask natural-language questions. Researchers query 50-page reports in seconds — sign in free, 1 credit per answer.