SynthRead™

SynthRead™ (SynthQuery's readability analyzer) scores how easy or hard your text is to read, estimates a grade level, and highlights sentences that drag comprehension—using trusted formulas such as Flesch–Kincaid, SMOG, and Gunning Fog alongside editorial cues like passive voice and clichés.

SynthRead ingests the text you paste (or fetch from a supported URL, when available) and tokenizes it into sentences and words. It then applies classic readability formulas that combine average sentence length, syllable load, and word difficulty into interpretable scores: Flesch Reading Ease, Flesch–Kincaid grade level, Gunning Fog, SMOG, and related indices each weight those ingredients differently, which is why two numbers can diverge on the same paragraph. You see an overall profile plus formula-specific breakdowns where enabled, not a single opaque "score." Beyond headline metrics, SynthRead highlights sentences that are long, structurally dense, or vocabulary-heavy relative to the rest of the draft, and surfaces editorial flags—such as passive voice, adverbs, or stock phrases—so you can decide whether to simplify, split, or keep them for precision. The tool does not measure conceptual difficulty: a short sentence about a hard idea can still confuse readers even if the grade level looks low. It is designed for iterative editing: rerun after changes to confirm whether you improved the curve or accidentally shifted jargon without shortening sentences. SynthRead runs in the same SynthQuery workspace as detection, grammar, and plagiarism, so you can move from "Is this clear?" to "Is this original?" without retyping content. Results are computed for the text you analyze; use them as a transparent diagnostic panel rather than a certification of accessibility compliance by itself.

Marketing and growth teams use SynthRead to align landing pages, emails, and product tours with a target reading level—often lower than the team's internal vocabulary—so more visitors complete forms and understand pricing. Developer advocates and technical writers use it to balance precision with scannability: white papers may legitimately sit above a general-audience grade level, but executive summaries and onboarding flows often need a tighter band. Educators and curriculum designers check whether readings, assignments, and parent communications match the developmental range of their classes. Corporate L&D teams tune job aids and compliance training so frontline staff can read them quickly under time pressure. Editors and journalists use sentence highlights to fix the handful of sentences that disproportionately raise difficulty before publication. Public-sector and nonprofit communicators pair SynthRead with plain-language guidelines so benefits, deadlines, and eligibility rules are easier to act on. Researchers should remember that formulas reward common words and shorter sentences—highly specialized papers may intentionally score "hard" without being poorly written. For those audiences, use SynthRead to find needlessly tortuous lines, not to force every abstract into eighth-grade prose.

Paste the final body copy you will ship—exclude navigation chrome, footers, or legal boilerplate unless you truly want those included in the score. If you are analyzing a webpage, use a URL when supported so the analyzer targets article content; otherwise paste the main column only. Scan the headline metrics, then open the sentence-level highlights. Start with the hardest sentences: splitting one long sentence or replacing a cluster of multi-syllable abstractions often moves the grade curve more than polishing easy lines. Read aloud: if you stumble, restructure before you tweak individual words. When formulas disagree, ask whether the bottleneck is sentence length (structure) or terminology (domain jargon)—SynthRead's multi-metric view helps you answer that. Set a target band for your audience (for example, general U.S. web readers often align near a middle-school to early-high-school band for consumer content, while expert B2B may intentionally land higher). Re-run SynthRead after substantive edits; if you only synonym-swap, scores may barely move. For long documents, run whole sections or chapters so each pass stays within limits and you can compare tone across parts. Finally, pair SynthRead with a human review for anything sensitive: medical, legal, or safety-critical content needs expert accuracy, not just simpler sentences. Export or screenshot scores when stakeholders require documentation of plain-language goals.

Readability formulas ignore layout, diagrams, and reader motivation—bad typography can make easy text feel hard. They may underrate poetry, dialogue, or deliberately dense legal prose. Do not treat grade level as a measure of intelligence or as a universal accessibility guarantee. Pair SynthRead with user testing, glossary links, and structural headings when stakes are high.