Top 10 AI Tools for Therapists

Purpose-built AI clinical assistant that generates structured medical notes from doctor-patient conversations with healthcare-specific ambient documentation, but limited to physician workflows rather than broader therapy sessions.

Strong EHR integration across 150+ health systems and 35+ languages with meaningful clinician efficiency gains, but hallucination complaints and cluttered interface concerns, plus opaque pricing, limit the score.

Free tier lacks BAA creating HIPAA risk for PHI-handling practices, training data use ambiguous in publicly unavailable enterprise agreements, and no third-party security certifications confirmed despite healthcare context requiring them.

Impressive adoption with 85,000+ clinicians and 20M+ patient encounters annually across 130+ health organizations, major health system wins in 2026, and a high-profile AI partnership with AMI/Yann LeCun signal strong market traction.

Well-documented Core API with OAuth 2.0 and Postman collection, active 2026 product launches including on-device Mac dictation, but deprecated Care Platform SDKs and absence of active multi-language SDKs limit developer experience depth.

Knowledge management app with AI plugins that therapists use for building interconnected client case notes and treatment resources, but it's a general note-taking tool without healthcare-specific workflows or compliance features.

Obsidian's core note-linking and knowledge management capability is well-validated by 22k+ reviews averaging 4.5–4.7/5, with strong ROI via a fully free core app, but meaningful learning curve (3+ weeks for some users, requires Markdown fluency) and fragmented AI via third-party plugins rather than native features pull the score below top tier.

Plain-text local storage with no forced cloud sync is a strong privacy posture, but no SOC 2 or security certifications were found, no public status page was confirmed, and the company (Dynalist Inc.) is bootstrapped with no disclosed third-party security audits, limiting the ceiling.

~1.5 million users and ~$25M ARR as of April 2026 with 1,600+ community plugins signals strong organic adoption velocity, but the bootstrapped funding model (no VC raise data), absence of major enterprise marketplace listings, and niche positioning cap the market score.

Active GitHub development with releases through August 2026, a TypeScript plugin API with documented sample templates, and ESLint CI pipelines show solid developer hygiene, but no versioned REST API, no official SDKs for Python/JS beyond plugin TypeScript definitions, no webhooks, and no SLA documentation keep infrastructure scores moderate.

Thoughtful AI assistant known for safe, nuanced responses that therapists use for treatment plan drafting and patient communication, but it's a general-purpose tool without healthcare-specific features or compliance guarantees.

G2 4.6/5 across 476 reviews with consistent praise for coding, documentation, and analysis; usage limit complaints are the primary friction but do not block core utility, and free tier plus $20/mo Pro makes it highly accessible.

Privacy posture and SOC 2 certification not explicitly confirmed in evidence, creating gaps; however, hallucination rate praised as lower than ChatGPT/Gemini across multiple sources and Anthropic's safety-first reputation is well established.

Claude Marketplace launched March 2026, $100M Partner Network announced, Sonnet 5.5 expanded across major cloud platforms, and 476 G2 reviews with active growth signal strong and accelerating ecosystem adoption.

Seven official SDKs, Claude Code repo at 149k GitHub stars with 5,000+ monthly commits, versioned API with prompt caching, streaming, webhooks, Dynamic Workflows for parallel subagents, and LangChain-compatible architecture represent best-in-class developer infrastructure.

AI voice assistant purpose-built for doctors that generates clinical notes from patient conversations with medical-grade accuracy, though more optimized for primary care than specialized therapy workflows.

Suki delivers strong ambient note generation validated by KLAS 93.8/100 and 95% would-buy-again rate, with deep Epic, Oracle Health, athenahealth, and MEDITECH integrations, but high pricing ($299–$399+/month with setup fees, no free tier) and complaints about generic notes and missed medication names constrain the operational score.

HIPAA compliance and SOC 2 Type II certification are confirmed, Google Cloud Vertex AI partnership adds credibility, and BAA availability is standard; no known data breaches or major incidents were identified, though hallucination of medication names is a documented concern.

Suki demonstrates exceptional market traction with 4x growth in 2024 followed by tripling in 2025, $168M raised at ~$500M valuation with a 2024 Series D, 400+ health system partnerships, Epic Toolbox membership, and a Zoom partnership covering 140,000 healthcare organizations globally.

Suki for Partners provides REST APIs, Web SDK, Mobile SDK, and Headless SDK launched June 2024 with developer docs updated July 2026, but access is credentialed rather than self-service, GitHub activity is limited to a third-party API evangelist repo, and orchestration/webhook documentation appears incomplete.

AI search engine that extracts findings from peer-reviewed research papers, enabling therapists to quickly access evidence-based treatment studies, though it's built for general scientific research rather than clinical practice.

Consensus earns strong marks for core utility with 4.7/5 across 1,657 G2 reviews confirming intuitive UX and solid search across 220M+ papers, though creation/editing tools lag and pricing restrictiveness noted by users drags ROI accessibility slightly.

Privacy and security posture is underdocumented in available evidence — no SOC 2 or explicit training opt-out confirmed — though no known breaches or incidents exist and the $30M raise with credible investors adds stability confidence.

Strong adoption signals with millions of monthly API users, $30M raise in May 2026 from recognizable VCs including Union Square Ventures, ChatGPT App listing, and active G2 review growth all point to a healthy market position.

V2 API with code samples in JS, Python, and Go, MCP server for Claude/ChatGPT/Cursor integration, and GitHub-hosted API repo demonstrate solid developer maturity, though versioning details and rate limit documentation have minor gaps.

Healthcare-specific AI assistant for medical document analysis and symptom checking that helps therapists review patient information quickly, but lacks session note generation features critical for therapy workflows.

Zero G2 reviews mean no independent confirmation of core utility, workflow integrations are undocumented publicly, and a minimal free tier exists but overall evidence of real-world working capability is absent, triggering the <5 G2 reviews auto-penalty of −10 pts.

HIPAA, GDPR, and SOC2 compliance are claimed for the lab/practitioner platform which provides a reasonable trust foundation, but training data opt-out posture is ambiguous and no third-party audit evidence or status page was found.

With only $750K raised at Pre-Seed stage, a Crunchbase Growth Score of 21, zero review platform presence, no named enterprise customers, and no press coverage found, market traction is negligible; the last funding round penalty applies as the seed was in 2022.

No public API documentation, SDKs, GitHub repos, or changelog were discoverable; while lab API/HL7 integration is mentioned contextually, there is no evidence of a developer-accessible surface, triggering the no-public-API auto-penalty of −20 pts.

Free AI meeting recorder with automatic summarization that works well for therapy session notes and CRM updates, but lacks healthcare-specific compliance features like HIPAA-compliant storage and clinical terminology.

Fathom delivers exceptional core task utility with near-perfect G2 ratings across 6,600 reviews, strong CRM integrations with HubSpot and Salesforce, and reliable 30-second post-meeting summaries, though free-tier AI summaries were capped at 5/month as of June 2026, reducing ROI accessibility slightly.

Privacy posture is adequate with GDPR signals but no confirmed SOC 2 Type II, no explicit HIPAA compliance or BAA availability, and training data opt-out status is ambiguous, creating meaningful gaps for regulated industries.

Fathom shows exceptional adoption velocity with 6,600 G2 reviews and a 5.0 rating, $61M total funding with a May 2026 undisclosed round from Google Ventures, though it skews heavily toward SMB (78% small business) limiting enterprise ecosystem signals.

Developer docs at developers.fathom.ai confirm REST API, webhook support, and TypeScript/Python SDKs, but GitHub activity is limited, changelog last updated February 2026, and rate limits and OpenAPI spec availability are not confirmed.

AI meeting notetaker that records and transcribes therapy sessions across video platforms with searchable transcripts, but lacks healthcare-specific security certifications and clinical note formatting templates.

Strong G2 rating of 4.7 from 746 reviews confirms core transcription and meeting summarization utility, but recurring complaints about AI credit caps, intrusive bot behavior, accuracy drops on accents/noise, and misleading 'unlimited AI' marketing cap the score; free tier is limited (800 min, 20 credits) and overages of $15–50/month above sticker reduce ROI accessibility.

No privacy policy or security certification details were surfaced in evidence beyond the developer program requiring SOC2 reports from partners, which implies Fireflies itself holds SOC2 but is not explicitly confirmed; billing complaints on Trustpilot (charged without consent, poor refund response) and ambiguity around training data use reduce trust confidence.

Exceptionally strong adoption signals — 20M+ users, 500K+ organizations, 75% of Fortune 500, 8x user base growth in 18 months, and unicorn valuation of $1B in June 2025 — combined with 746 G2 reviews and backing from Khosla Ventures place this firmly in the high-market tier.

API v2 launched April 2026 with documented rate limits (500 req/60s) and a structured developer program, but no GitHub activity data, no confirmed SDK for Python/JS, no OpenAPI spec found, and changelog not publicly indexed limit the infrastructure score despite meaningful API maturity signals.

AI-powered workspace for organizing client notes and treatment plans with summarization features that therapists use for practice management, but it's a general productivity tool without healthcare compliance or clinical templates.

Notion AI scores well on core utility (4.7/5 G2 across 4,000+ reviews, praised for knowledge consolidation) but is dinged by consistent complaints of AI slowness, latency on large pages, clunky mobile, and weak email/calendar integration that limits workflow depth.

Notion has a public status page and GDPR mentions, but evidence on SOC 2 certification, explicit AI training opt-out, and data handling policy clarity was not surfaced in the research, capping trust confidence and score.

With $11B valuation, 100M+ users, 4,000+ G2 reviews, active product velocity (Workers for Agents, Skills, April 2026 feature drop), and strong product-led growth signals, Notion AI demonstrates exceptional market adoption and ecosystem strength.

Notion offers official SDKs in JavaScript, Python, Go, C#, JVM, and PHP with versioned API (2026-03-11), active GitHub ecosystem, and a public developer docs site, though Workers for Agents remains in developer preview with execution constraints limiting full orchestration readiness.

AI transcription service that therapists use to capture session conversations with automated summaries, but it's designed for general business meetings and lacks healthcare-specific security certifications and clinical formatting.

Core transcription and meeting summary functionality is well-validated across 300+ G2 reviews at 4.3–4.4/5, with strong Zoom/Teams integration and April 2026 MCP and desktop upgrades, but recurring complaints about accuracy with accents/background noise, weak speaker ID, and aggressive minute caps on lower tiers prevent a higher score.

Billing complaints (unexpected charges, difficult cancellation), automatic transcript sharing concerns, and ambiguous AI training data opt-out language temper trust; no SOC 2 or security certification was confirmed in evidence, and the privacy posture scores mid-range.

Otter.ai crossed $100M ARR at end of 2025, maintains Zoom integration in 70% of enterprise accounts, claims Fortune 500 penetration, and received CNBC coverage, signaling strong real-world adoption, though Series C funding from 2021 is now over 36 months old.

A public API exists for Enterprise users with documented rate limits, but unofficial open-source libraries dominate developer tooling, official SDKs are absent or unreleased, and the April 2026 MCP integration is the primary orchestration signal, leaving infrastructure maturity moderate at best.