Diffit

by Diffit

AI for instantly creating differentiated, classroom-ready reading materials

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About

Diffit is an AI-powered platform designed for K–12 educators to generate “just right” instructional materials that match diverse student reading levels and curricular standards. Teachers can start from almost anything they already use—such as a PDF, article URL, video transcript, or raw text—or simply type in a topic, standard, or prompt. Diffit then produces leveled reading passages, summaries, questions, vocabulary, and activities tailored to the selected grade, language, standards, and reading level. A core capability of Diffit is its ability to automatically differentiate content so that all students can access grade-level material. Educators can fine-tune which sources inform the generated texts, adjust depth-of-knowledge for questions, and specify target vocabulary, then use Diffit Chat to further revise reading level, swap activity types, add teacher guides, or translate resources. The platform supports exporting to Google Docs, Slides, Forms, Google Classroom, Microsoft 365, or printable PDFs, keeping all exports editable so teachers can adapt them further to their classroom context. Diffit offers an always-free version for individual teachers along with a full-featured premium subscription for schools and districts. School and district customers can obtain flat-rate annual licenses that are tiered by student enrollment, providing access to advanced features and broader usage across staff. There is also a dedicated program granting first-year teachers a full year of free premium access to help them save time while building high-quality, differentiated lessons. What distinguishes Diffit is its focus on classroom-ready, standards-aligned differentiation rather than generic text generation. The tool is built around teacher workflows, with controls for reading level, language, standards alignment, and export formats that plug into existing ecosystems like Google Workspace and Microsoft 365. By reducing the time needed to adapt or create leveled resources, Diffit supports more inclusive instruction and allows teachers to devote more energy to direct student support and instructional decision-making.

What you can do with it

  • Differentiating an article or PDF into multiple reading levels with aligned questions and activities for a single lesson
  • Generating standards-aligned informational texts, questions, and vocabulary from a curriculum topic when no suitable reading exists
  • Creating scaffolds and translations of grade-level materials to support English learners and multilingual students
  • Turning a YouTube video transcript into a printable reading passage with comprehension questions and extension tasks
  • Exporting Diffit-generated materials directly into Google Docs, Slides, Forms, or Classroom for quick assignment and editing

Pricing

Unconfirmed

How to access

Browser-based web app at web.diffit.me and app.diffit.me with open signup for teachers; individual educators use the free version directly, while schools and districts purchase a flat-rate annual Diffit for Schools subscription to unlock premium features and organization-wide access; exports integrate with Google Docs, Slides, Forms, Classroom, Microsoft 365, and PDF workflows.

Access via web app at web.diffit.me and app.diffit.me; teachers sign up and log in with an account (email/identity provider) and then use a browser-based interface to create, adapt, and export materials; schools and districts can purchase a premium Diffit for Schools subscription for all staff.

Tips for getting the best results

Start by choosing whether to adapt existing content (paste text, upload a PDF, or provide a URL or video transcript) or generate from scratch with a topic, standard, or custom prompt. Select the target grade, language, reading level, and relevant standards up front so Diffit can tailor passages, questions, and activities appropriately. After generation, use Diffit Chat or the refinement controls to adjust complexity, add scaffolds, change activity types, or translate materials, iterating until the resources match your students’ needs. Export final materials to Google Docs, Slides, Forms, Classroom, Microsoft 365, or PDF so you can edit, combine with your existing curriculum, and assign through your usual LMS or distribution workflow. For school- or district-wide use, work with Diffit to enable the Diffit for Schools subscription so all staff can access premium features without individual upgrades.

Known limitations

Diffit is limited to teacher-facing use and does not support direct student accounts or rostering, which may constrain some workflows. It focuses on text-based reading and activity materials and is not a full curriculum platform, so teachers still must ensure alignment to local pacing guides and objectives. As with any AI system, generated content can contain factual inaccuracies or misaligned emphasis despite using cited sources, requiring teacher review before classroom use. The free tier may cap certain advanced features or volume relative to the Diffit for Schools subscription, and pricing for individual paid use is not clearly published. Integration is oriented around Google and Microsoft ecosystems, so schools outside those stacks may have less seamless workflows.

Model / Technology

Proprietary AI text generation and transformation pipeline using large language models with education-specific conditioning and templates

Commercial use

Diffit is designed for classroom instructional use; teachers and schools can use generated materials with students in their classrooms, but the site does not prominently publish detailed commercial reuse or redistribution terms for outputs, so broader commercial exploitation or resale of generated content may be restricted or governed by its general terms of service.

Training data

Public materials indicate Diffit generates content from real, cited sources but do not fully specify its training corpus; it likely relies on licensed and publicly available text corpora combined with proprietary education-focused datasets and retrieval of cited web or reference content, with an emphasis on accuracy and source transparency rather than scraping or using student data.