Most drafts live in Google Docs in 2026. Paste your Doc into TextSight and get an Authenticity Score with sentence-level highlights in under six seconds. Built for students drafting essays, content teams collaborating on shared Docs, and researchers writing in Workspace. Paragraph breaks and headings carry over from Docs cleanly. Free to try. No card.
Drafting has migrated almost entirely into Workspace. Students write essays in Docs, content teams collaborate in shared Docs, researchers structure papers in Docs. The pre-publish pattern is the same across all three: paste, scan, fix, ship.
Google Docs is the default drafting surface for tens of millions of writers. The Gemini side panel and Help me write prompt are part of the standard workflow now. The realistic 2026 pattern is to use AI assistance while drafting and run a pre-publish scan on the final text before submission, delivery, or publication.
Most coursework now flows through Classroom or a shared Doc submission link. Students write the draft in Docs, paste into TextSight thirty minutes before submission, and edit any red sentences. The free tier covers three scans a day, which handles most weekly essay loads. Heavier dissertation work usually moves to Starter at 9.99 dollars a month.
Editorial workflows live in Docs because of comments, Suggesting mode, and shared access. The standard pre-publish check is to paste the final Doc into TextSight, confirm the Authenticity Score is above 75, then move the piece into the CMS. Multiple authors and tracked changes do not change the workflow; the scan is on the final rendered text.
Long-form research drafts and shared writing projects in Docs benefit from iterative scans. Pasting each major revision in keeps the Authenticity Score trending up as the draft improves. If the score plateaus, the issue is usually structural (paragraph templating, sentence-length flatness) and the sentence-level highlights point straight at the lines to rewrite.
No native add-on yet (the Workspace Marketplace listing is on the 2026 roadmap). The paste flow takes under thirty seconds end to end and returns the same Authenticity Score the future sidebar will surface.
Open your Google Doc, press Ctrl+A (Cmd+A on Mac) to highlight the full body, then Ctrl+C (Cmd+C) to copy. Paragraph breaks, headings, and lists ride along with the plain-text payload. If you only want to scan one section, highlight that section instead and copy that.
Open app.textsight.ai in another tab. The detector tab is the default landing surface, so the text box is ready to receive the paste. No signup needed for the first scan; the free tier allows three scans a day before signup is required.
Paste into the text box with Ctrl+V (Cmd+V), click Scan. Results stream back in three to six seconds for a 1,500-word draft. The Authenticity Score appears at the top, sentence-level highlights render below, and the per-sentence reasons (vocabulary tell, rhythm pattern, perplexity, structural symmetry) populate on hover.
Toggle back to your Doc, rewrite the flagged sentences in place, then paste the revised draft back into TextSight for a second scan. Most pieces go from red to green in two or three iteration cycles. If a sentence flags on every pass, run it through the integrated AI rewriter (Light, Balanced, or Maximum) and paste the rewritten line back into the Doc.
Free covers casual scanning. Pro is the right fit for regular Docs writers. Business is for content teams. Full details on the pricing page.
Billed $89.88/year — Save $30
Billed $179.88/year — Save $60
Billed $359.88/year — Save $120
Yearly billing saves 25%. View full pricing →
Google's own AI tooling inside Docs writes prose but does not score prose. TextSight is the audit layer on the other side of that pipeline.
The Help me write prompt in Docs and the Gemini side panel are drafting assistants. They produce paragraphs, expand bullets into prose, and rewrite for tone. Neither tool gives you a number for how AI-shaped the output is. TextSight is the inverse: it does not generate text, it scores text. The realistic 2026 workflow uses both, with Help me write on the drafting side and TextSight on the pre-publish side.
TextSight's classifier was trained on outputs from Gemini 1.5, 2.0, and 2.5 Pro alongside GPT-4, Claude, and other major models. Help me write drafts and Smart Compose long-form completions flag at the same fidelity as ChatGPT content. Writers using Gemini for outlines or first drafts get the same sentence-level visibility on the output that they would for any other model.
Some writers think wrapping AI text in Suggesting-mode edits or inline comments will change the score. It does not. TextSight reads the final rendered text the way a reader sees it. To audit the original draft, reject all suggestions first or scan a fresh copy. The scan reflects what the next reader will read, which is the right thing to optimise.
Students, content teams, and researchers all share the same paste-then-scan loop. The differences are in cadence and tier.
Students writing in Docs paste the final draft into TextSight before the Classroom submission deadline. Free tier covers three scans a day, which handles a typical week of coursework. Heavier essay loads (more than three to four drafts a week) move to Starter at 9.99 dollars a month. The pattern catches both genuine AI residue and false-positive flags from formally-structured academic writing.
Shared Docs with multiple writers, comments threads, and Suggesting-mode edits scan the same as a solo Doc. The final rendered text is what TextSight scores. Editorial teams running a minimum Authenticity Score policy paste each piece into TextSight at the end of the review cycle, then push to CMS only above the agreed threshold (usually 75 or 80).
Long-form research writing benefits from re-scanning at each major revision. The Authenticity Score trend across drafts is a useful signal: a draft that gets longer without the score moving usually has structural AI patterns (template paragraph openings, flat sentence rhythm) that need addressing earlier than expected.
Honest scope: there is no native Google Docs sidebar yet. The paste workflow returns the same score the future add-on will surface inline.
The planned add-on will dock a sidebar inside Docs, score the current document on demand, and render flagged sentences using the native Docs suggestion system so the writer can accept or reject AI rewriter rewrites inline. The underlying scan and the Authenticity Score model are identical to the web app.
Until that ships, the paste flow is faster than you might expect. Select All in your Doc, paste into app.textsight.ai, and the scan returns in three to six seconds for a 1,500-word draft. Long Docs above 50,000 characters work better as DOCX uploads on the Pro or Business tier, which preserves headings and list structure cleanly.
If a native add-on would meaningfully change your workflow (for example because you write in dozens of Docs a day and the paste step adds friction), tell us on the contact page. Demand signal directly affects roadmap priority. Sheets and Slides support is also tracked there.
The full student workflow, false-positive defense, and the academic tone preset.
For students →Blog posts, landing pages, and client deliverables with sentence-level highlights.
For writers →Right-click to scan on any site, including docs.google.com tabs.
See the extension →Full tier breakdown for Free, Starter, Pro, and Business. Annual billing saves 25%.
See pricing →Free to try. No card. Your first scan in about six seconds.