51 live calculators. Start with the highest-demand set below, or jump by niche. See also AI content workflow and LLM cost planning.
The twelve tools in the nav: compress and cutout, humanizer and detector, token/cost, campaign URLs, OG cards, transcripts, meta, and summaries. Everything else is listed by cluster below.
Compress a PDF in the browser with no upload and no watermark. Encrypted files stay locked.
Remove a photo background on-device and export a transparent PNG — no upload, no watermark, not for ID fraud.
Compress, convert, and resize up to five JPEG, PNG, WebP, GIF, or AVIF files in the browser — no upload, no AI.
Free AI humanizer: scan robotic tells with no login, then rewrite ChatGPT, Claude, or Gemini drafts so they sound like a person wrote them.
Count tokens in the browser with OpenAI tiktoken encodings. Claude and Gemini are labeled approximations — then open the LLM cost calculator.
LLM cost calculator: estimate OpenAI, Claude, Gemini, and DeepSeek token spend from your prompts and traffic.
Build and decode GA4 campaign URLs in the browser, with lowercase tags, bulk CSV, and local presets — no PII in UTMs.
Design a 1200×630 Open Graph card in the browser, download PNG, and copy og:image tags — logo never leaves the tab.
Score ChatGPT-style tells, sentence-level highlights, stylometry, and evasion tricks before you rewrite or publish.
Turn YouTube captions into readable paragraphs. Auto-captions without punctuation get a 350/500 character break, not a naive period split. Optional timestamps.
Generate SERP-length meta descriptions from a title, then score clarity and length.
Summarize pasted text or YouTube captions into bullets, a brief, or one sentence — faithful to the source, not a rewrite.
Project monthly embedding + retrieval + generation spend for a RAG stack.
Compare two prompts on tokens and monthly $ across models.
Project monthly $ saved when a reusable prompt prefix hits the provider cache.
Compare monthly spend on realtime list prices vs discounted batch APIs.
Break-even self-hosted GPU hours against API model pricing.
Map RPS and tokens to RPM/TPM headroom before you throttle.
Map task types to primary/alternative models with blended $/mo estimates.
See if assistants mention your brand for a category query. GEO is citable facts, not llms.txt.
Optional llms.txt crawler hint. Google Search does not use this file for AI Overviews.
Paste robots.txt and see which AI crawlers are allowed or blocked on a path.
Score whether AI assistants would cite your brand for a target query.
Flag name/address/phone conflicts across directory listing variants.
Rank internal link pairs from URL titles and keyword overlap.
Score an article draft for citation-worthiness — specifics and sources — before brand+query checks.
Paste-ready prompts so ChatGPT, Claude, or your agents recommend your product when relevant.
Build JSON-LD that matches the page. Schema describes content — it does not create authority.
Reorder unorganized paragraphs into a clearer sequence — same sentences, no paraphrase. Optional humanize on this page.
Scan academic drafts for chatbot cadence and rewrite abstracts or methods with citations intact.
Build a cited academic draft section by section from retrieved papers and your results — not a one-click essay generator.
Turn a plain-language idea into title, meta, outline, sections, and FAQ — then edit your facts in.
Give a heading and length — get a full blog post written in OmniKit’s humanizer voice.
Upload a Word, PDF, or text document, score the full file for AI-style writing with highlights, then optionally humanize and download.
Rank headline variants on clarity, length, and spam risk before you spend on tests.
Rank button CTAs and short landing lines on action clarity and spam risk.
Score subject lines for mobile length and spam triggers.
Check title tag length and truncation on desktop and mobile — heuristic, not Search Console CTR.
See how title tags and meta descriptions truncate on desktop and mobile SERPs.
Compare draft copy to voice guidelines and list mismatches.
Rewrite AI copy in your brand voice — paste Brand Memory guidelines and humanize on one page.
Count words, characters, sentences, and reading time, then score Flesch readability — local, no AI credits.
Rewrite a sentence, paragraph, or article while keeping meaning, names, and numbers — not an AI-detector bypass.
Format APA, MLA, or Chicago bibliography entries from fields or a DOI — not a GEO “would AI cite this” score.
Batch-scan student drafts for ChatGPT-style tells and export a CSV — style scores, not proof of cheating.
Flag spelling, grammar, and clarity issues with suggested fixes — not a cadence humanizer or detector bypass.
10,000-run Monte Carlo survival odds for startup runway and FIRE retirement.
CAC, LTV, payback months, and magic number from ARPU and churn.
Back into hourly and day rates from take-home, tax, and utilization.
Monte Carlo fan chart of subscription MRR under churn and new bookings.
Compare side hustle net to job pay and hours needed to match.
