Sapling's AI Content Detector helps organizations identify text likely written by AI. It analyzes passages for statistical patterns, highlights risky sentences, and provides a confidence score. Teams can run checks in the browser, upload batches, or call an API to scan large volumes. Integrations and policy settings support editorial, academic, and enterprise workflows while keeping reviewers in control. Results include sentence level heatmaps, explanations, and thresholds that match internal policies. Administrators can tune sensitivity and export findings for audits and training.
Originality.ai provides tools to assess whether text may be AI generated, check for plagiarism, and assist with fact review and readability. Teams scan drafts, see highlighted spans, and export results. APIs support large scale screening and dashboards summarize status across projects. Used with policy and human judgment, it helps publishers and educators manage risk while avoiding overreach that would penalize legitimate voices or quotations. Batch scans summarize scores by project and owner for oversight at scale.
AuthentiCheck AI verifies identities and documents with computer vision and machine learning to stop fraud without slowing onboarding. Capture IDs, passports, or licenses, extract data with OCR, and detect tampering with texture and metadata analysis. Liveness checks and face match confirm presence and ownership, while risk rules score attempts in real time. Dashboards and webhooks route cases for review and keep audit trails for compliance. Regional templates, consent flows, and data retention controls support privacy and regulatory requirements.
Copyleaks AI Detection helps educators, publishers, and businesses identify AI-written or plagiarized content with high accuracy. Scans analyze style, probability, and overlap, then highlight passages and sources for verification. Integrations check documents in LMS, CMS, and email workflows. Reports include confidence and policy notes so decisions remain fair and well documented. APIs support large-scale screening while respecting privacy and security requirements.
Copyleaks GPT Detection Tool identifies AI-written passages with model-aware signals and clear evidence. Scans estimate likelihood across GPT variants, highlight suspect spans, and link potential sources for overlap. Add-ins and APIs check drafts in LMS, CMS, and document editors without copy-paste. Reports include rationale, thresholds, and reviewer notes so outcomes are consistent and defensible. Batch queues handle high volume while protecting privacy and honoring retention policies.
Detect GPT estimates whether text was generated by AI using statistical and stylistic signals. Paste content or scan documents to receive likelihood scores and highlighted regions. Use cases include education, editing, and platform policy checks. Extensions and APIs bring detection into everyday workflows. Calibrated thresholds and guidance help reviewers avoid overreliance on any single score.
GPTZero helps institutions, publishers, and platforms evaluate whether text was likely written by AI. Upload documents or paste content to receive a structured report with per-section signals and an overall confidence summary. Sentence highlights direct reviewers to areas needing scrutiny, and explanations clarify what drove the assessment. Admins use batch tools and an API to screen at scale, while integrations connect results to LMS, CMS, or case management for consistent follow-through.
Turnitin AI Writing Detection provides indicators that estimate whether parts of a submission may have been generated by AI tools. Signals appear alongside similarity results so educators assess evidence in one place. Guidance emphasizes conversation and student learning. Controls, exports, and documentation help staff record context and apply institutional policies consistently when addressing potential AI assisted writing. Detection indicators are best treated as signals that inform conversations not verdicts.
Toggl Plan is a simple project planning tool with timelines, boards, and tasks that keep teams aligned as priorities evolve. Create roadmaps, assign work, and track capacity by person to avoid overload, then reschedule quickly with drag-and-drop when scope or dates shift. Milestones and recurring tasks keep hygiene visible across cycles. Comments, checklists, files, and calendar sharing preserve context so stakeholders stay in sync without extra status meetings or scattered exports across tools. Color-coded lanes and swimlanes reveal handoffs, bottlenecks, and dependencies early for smoother delivery.
Veritas AI Checker provides indicators that estimate whether portions of text may reflect AI assistance. Reports appear with context so instructors and reviewers examine patterns, drafts, and prompts together. Guidance emphasizes conversation, revision, and policy alignment rather than automated judgments. Exports, notes, and controls help document rationale while privacy and access settings protect student records across courses and terms. Indicators are signals for discussion and learning, not automatic verdicts or grades.
ZeroGPT analyzes text and estimates the likelihood it was generated by AI models, providing a probability score and contextual cues. Paste content, upload files, or call the API to evaluate drafts at scale. Explanations help readers understand which patterns influenced the result, and batch tools report on many documents at once. Used with human judgment and policy, it supports classrooms, publishers, and teams that need signals without blocking legitimate writing or nuanced style. Confidence hints highlight uncertainty and advise human review where needed.
Sweep helps engineering teams automate code maintenance and PR workflows. Create branches from issues, propose changes, and generate pull requests with tests and documentation. With repository context, conventions, and review prompts, it drafts fixes that match style. Integrations sync status to trackers so work moves steadily without manual glue. These specifics improve repeatability and reduce rework during reviews.
Sensity detects and monitors deepfakes and visual threats across video, images, audio, and IDs. Upload files or stream via API; classifiers, metadata checks, and liveness tests score risk in seconds. Dashboards group cases, evidence, and confidence. Alerts track impersonations and synthetic abuse online. With reports, governance controls, and integrations, trust and safety, KYC, and fraud teams block attacks earlier.