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.

Nabla demonstrates strong core utility with 85,000+ clinicians and 130+ healthcare organizations confirmed, deep EHR integrations across Epic, Cerner, athenahealth, and others via a public Core API with webhooks and streaming, high accuracy ratings (4.8/5), and clinician testimonials affirming productivity gains; ROI accessibility is the primary drag given opaque pricing around $119/month per provider with no clearly confirmed free tier.

Nabla earns a high trust score backed by a comprehensive security posture (SOC 2, ISO 27001, HIPAA, GDPR, NIST Cybersecurity confirmed at trust.nabla.com), an explicit privacy-first policy stating audio is never stored or used for AI training, a clean public status page history, and strong company stability anchored by a $70M Series C in June 2025 bringing total funding to $120M.

Nabla shows strong market momentum with a $70M Series C led by HV Capital and DST Global (June 2025, within 12 months), 85,000+ clinicians as active users, integrations across major EHR marketplaces including Epic and Cerner, substantive third-party press coverage in Fierce Healthcare and Becker's Hospital Review, and the October 2025 launch of Nabla Connect expanding its EHR ecosystem reach.

Nabla's API infrastructure is mature with versioned regional endpoints (us/eu), OAuth 2.0 auth (Server and User APIs), documented webhooks, transcription WebSocket streaming, and an active changelog; the main gaps are the absence of a confirmed Python SDK (JavaScript sample app is the primary reference) and no explicit LangChain/LlamaIndex framework integration documented.

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 scores strongly on core utility (4.8-star ratings, Bases launched 2025, 4,165+ plugins) and exceptional ROI via its fully-featured free tier, but is dragged down by a well-documented steep learning curve and near-zero native workflow integrations due to its local-first architecture — community webhooks and MCP plugins partially compensate but no official Zapier/Make listing exists.

Local-first architecture with end-to-end encrypted Sync provides genuinely strong privacy (Obsidian staff cannot read vault contents), but the bootstrapped company has no SOC 2 or ISO 27001 certification confirmed, which caps the security posture for enterprise use cases; a public status page exists and no breach history was found.

A 100,000+ member Reddit community and over 4,165 plugins signal robust grassroots adoption, but Obsidian remains bootstrapped with ~$2M ARR and no VC backing, limiting enterprise marketplace presence; independent analytical coverage (2026 Report Card, Zapier, G2 Learn) supports narrative quality.

Development is highly active (v1.12.4 shipped March 2026, changelog current) and the TypeScript plugin API with developer docs at docs.obsidian.md provides a solid extension surface; however, there is no official versioned REST API, no Python/JS SDK, and orchestration relies entirely on community-built MCP servers and webhook plugins rather than official integrations.

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.

Claude scores strongly across core utility (praised for low hallucination, exceptional coding and writing), deep workflow integration (Zapier 9,000+ apps, MCP native, Google Workspace), and an accessible freemium model; the only meaningful drag is recurring complaints about usage limits on Pro/Max tiers disrupting paid-user workflows.

SOC 2 Type I & II, ISO 27001:2022, and ISO/IEC 42001:2023 certifications anchor a high security score, and the company's $380B-valuation stability is unmatched, but a September 2025 policy shift to opt-out (rather than opt-in) AI training by default moderates the privacy sub-score.

Anthropic's Series G ($30B, $380B valuation), $5B+ ARR run-rate, 70% Fortune 100 adoption, 40% enterprise LLM spend share, and tier-1 press coverage (Claude Cowork triggering the 'SaaSpocalypse' narrative) make this one of the strongest market profiles in the AI sector.

With official SDKs in 8 languages, Anthropic's own MCP protocol natively integrated, LangChain/LlamaIndex support, a newly released Rate Limits API, and Claude Code showing 586+ commits with changelogs updated within hours, the developer infrastructure is best-in-class.

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 verified clinical utility — KLAS score 93.8, physicians averaging 76% faster note completion across multiple independent hospital ROI reports — but its $299–$399/user/month pricing with no free tier significantly drags the ROI accessibility sub-score.

SOC 2 Type II and HIPAA compliance are confirmed by an American Psychiatric Association vendor inquiry (July 2025), data is deidentified before LLM processing, and the October 2024 Series D plus Zoom Ventures investment signal strong company stability; only minor trust gaps exist around GDPR specificity and absence of a confirmed public status page.

A $168M total raise (Series D Oct 2024 + Zoom Ventures Jan 2025) at a ~$500M valuation, named adoption at Rush, McLeod Health, MedStar, and FMOL, plus Epic App Orchard presence and tier-1 healthcare press coverage collectively signal a well-validated, accelerating market position.

A versioned partner developer platform (developer.suki.ai) with Web SDK now at v2.0.4, ambient session lifecycle APIs, and active release notes reflects solid developer investment, though explicit rate-limit documentation and a second native SDK language were not confirmed, and no public SLA was found.

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.

Core task utility is high — confirmed by multiple independent university libraries, a PMC peer-reviewed evaluation, and third-party reviewers praising its accuracy and efficiency for academic search across 220M+ papers; workflow integration covers Zotero, Endnote, Mendeley, ChatGPT plugin, and LibKey but lacks Zapier/Make and a fully public API, holding integration depth to mid-tier; free tier is generous and Pro at $10/mo is competitively priced; onboarding is intuitive with near-zero learning curve per multiple reviewer accounts.

Consensus explicitly opts users out of AI training with no PII stored or shared — confirmed by Bentley, Ohio University, and St. Catherine University library guides — earning a strong privacy score; however, no SOC 2 Type II or equivalent third-party security certification was found, capping security certification; hallucination risk is structurally mitigated by search-before-synthesis architecture and checker models, though misread-source errors remain possible; zero tracked incidents since November 2025 per IsDown, and the $30M round with DJ Patil joining the board signals operational stability.

Exceptional growth: from 400K MAU at Series A (Aug 2024) to 2.5M MAU and 10M+ total users by mid-2026, with 170+ university library partnerships, 6 of the top 12 academic publishers, and active deployment by OSU, UVA, UMD, and others; $30M round led by GreatPoint Ventures in May 2026 with USV doubling down signals strong market conviction; covered by Verdict, PRWeb, and The Business Journals with analytical substance, though coverage remains mostly startup-tier rather than tier-1 tech press.

A public API exists at consensus.app/home/api/ enabling embedding of Consensus search into workflows, but documentation depth, versioning, rate limit specifics, and OpenAPI spec availability were not confirmed; changelog was updated as recently as October 2025 indicating active development; no official Python/JS SDK found; no webhooks or streaming API documented; the tool is primarily a consumer/prosumer SaaS with limited orchestration surface, keeping infrastructure scores in the baseline consumer range.

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.

Core AI health assistant, symptom checker, and lab analysis capabilities are well-confirmed across multiple independent sources with a v2.0 release in Feb 2026 introducing long-term memory, but the platform lacks documented third-party integrations, Zapier/Make listings, or a public API, and a -10 penalty applies for no confirmed G2 profile with meaningful reviews, capping operational at 50.

Docus claims SOC 2, HIPAA, and GDPR compliance consistently across its site with a dedicated Trust Center (trust.docus.ai) and AWS HIPAA-eligible infrastructure, but certifications are self-asserted rather than independently verified in search results, company stability is limited (seed round >36 months old, 24 employees), and medical AI accuracy inherently carries hallucination risk documented in third-party analyses.

Docus has modest but growing Trustpilot presence (~88 reviews, mostly 5-star), AWS Startup Showcase inclusion, CNBC TV18 coverage, and active blog through Feb 2026 with geographic expansion into Armenia, but its only confirmed funding is a Seed round from Feb 2023 (>36 months ago) with no Series A signal, triggering the -15 penalty and pulling the market score down significantly.

Docus is primarily a consumer/B2B2C health platform with no public developer API, no Zapier or Make integration, and no confirmed GitHub repository or SDK; development activity scores well given a v2.0 release in Feb 2026 and active blog updates, but overall infrastructure maturity is low, anchored at the consumer-tool baseline per scoring rules.

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 earns a near-top operational score driven by a 5.0/5 G2 rating across 6,700+ reviews, an extremely generous free tier with unlimited recording and transcription, a sub-3-minute setup confirmed by multiple independent reviewers, and native integrations with Zoom, HubSpot, Salesforce, Slack, Asana, Close CRM, and Zapier; minor deductions applied for occasional timestamp inaccuracies on long calls and UI distraction complaints.

SOC 2 Type II and GDPR compliance are confirmed, data selling is explicitly denied, and an opt-out from AI training is available to both individual and organization-level users, but a deduction is applied because Fathom uses de-identified customer data for its own proprietary model improvements by default, and the 133 publicly logged outages over 12+ months on the status page—while transparently reported—reflect a non-trivial incident frequency.

Fathom is the #1 most-installed AI app on both the Zoom and HubSpot marketplaces, named to G2's 2026 Best Software Awards Top 100, recognized as HubSpot's 2025 Most Used App of the Year, and grew G2 reviews from ~3,000 to 6,700+ (>100% growth) in under 18 months, with a $17M Series A closed in September 2024 and $30.2M total raised.

Fathom launched a public API (October 2025) with TypeScript and Python SDKs, full webhook support, and a dedicated developer portal at developers.fathom.ai, but the API is relatively new with no confirmed versioning scheme or explicit rate-limit documentation found, and no SLA percentage is publicly stated, holding infrastructure below elite tier.

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.

Core transcription and meeting summarisation capability is confirmed strongly across 746+ G2 reviews (4.7/5), with meaningful free tier and broad conferencing integrations (Zoom, Meet, Teams, Webex, Salesforce, HubSpot), though reliability complaints about English-only UI, occasional transcription inaccuracies, and poor customer support temper the score.

Fireflies explicitly states meeting content is never used to train AI models, enforces Zero Data Retention, and holds SOC 2 Type II, GDPR, and HIPAA certifications — a rare trifecta that drives a high trust score, offset slightly by Trustpilot complaints about aggressive billing practices and a noted BIPA lawsuit reference.

746 G2 reviews at 4.7 stars with active recent posting signals strong adoption velocity, a 300,000+ user base is cited, and the tool is listed in major CRM and conferencing ecosystems; however the last funding round was $14M in May 2021 (over 4 years ago) with no new raise, which meaningfully dampens the market dimension.

The API is a documented GraphQL endpoint with webhooks fully described, audio upload support, and a developer program with partner submission path; no official Python/JS SDKs were confirmed, rate-limit documentation appears thin, and no OpenAPI spec was found, keeping infrastructure in the solid-mid range.

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 strongly on core writing/summarization tasks confirmed across 8+ independent reviews and deep integrations (Zapier 8000+ apps, MCP, native API), but output reliability is docked for documented multi-page synthesis hallucinations (~60% accuracy cross-page) and AI access now gated to the $20/user/mo Business tier.

Explicit no-training-data clause in Notion's published AI security policy, confirmed SOC 2 Type II, GDPR DPA available, and $600M ARR with Sequoia/Coatue backing signal strong stability, though third-party subprocessor data sharing and occasional accuracy issues in synthesis tasks moderate the score.

11,857 G2 reviews with active recent posting, Zapier marketplace presence, named enterprise customers (Vercel), strong independent press and a technical changelog active through May 2026 drive high market scores, partially offset by the last formal funding round being the 2021 Series C (though $600M ARR negates the revenue-signal penalty).

Official versioned SDKs for JavaScript (with 2026-03-11 API version), documented rate limits (3 req/s), a native MCP server, LangChain integration, webhook-capable Workers launched May 2026, and an active GitHub with recent commits deliver a best-in-class infrastructure profile for a productivity SaaS tool.

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.

Otter.ai scores strongly on core transcription utility (G2 4.3–4.4/5 across 462+ reviews), a genuine free tier, Zapier and 10+ native integrations, and near-universal praise for ease of use, but output reliability is modestly penalised by documented accuracy gaps for non-native accents and technical jargon.

SOC 2 Type II plus HIPAA (July 2025) certification is a genuine strength, but the trust score is heavily penalised because Otter.ai explicitly trains its models on de-identified user data with no clear consumer opt-out, and Trustpilot carries notable billing-dispute complaints pushing incident transparency down.

Otter.ai reached $100M ARR by end of 2025 with active TechCrunch/CNBC/BusinessWire coverage and strong G2 review velocity, but the last formal funding round was February 2021 (over 4 years ago), triggering the 36-month funding penalty despite revenue momentum.

The April 2026 Conversational Knowledge Engine launch and MCP Server integration show active development, but the public API is gated to enterprise customers only, no official Python or JavaScript SDK exists, and rate-limit documentation is not publicly accessible.