Doximity Scribe vs Freed (2026)
The two products an individual clinician actually chooses between, and the price gap is total: one is free and the other starts at 39 dollars a month. Doximity gives Scribe away to every verified United States clinician and student, covers all users under a business associate agreement, stores no audio and names the third party that processes the encounter, which is a stronger data position than most paid products here manage. What it does not do is reach the record system: no integration with any electronic health record was located, so the note comes back to the clinician and stops there. Freed costs money and pushes the note into any browser based record with one click, publishes SOC 2 Type 1 and Type 2 as independent audits, and includes a business associate agreement on every tier. If the note has to land in the chart, that is worth 39 dollars. If it does not, free is hard to argue with.
- It costs nothing and the eligibility is stated precisely: free to all verified United States physicians, nurse practitioners, physician assistants and medical students, with no tiers and no per note limit.
- Every user is covered by a business associate agreement, which removes the question that gates almost every other free or entry tier product in this category.
- The data commitment is unhedged: no audio is stored or retained, recordings are processed in real time and discarded once the note is generated, and the vendor names the third party that processes the encounter.
- It puts the note in the chart. Freed's EHR push moves the note into any browser based record system in one click, where the alternative has no located integration with any record system at all.
- Paid tiers with defined limits and a coding tier, so a practice can scale from a single clinician to a group with volume discounts rather than depending on a free product's roadmap.
- A security disclosure that is unusually specific for a self serve product: SOC 2 Type 1 and Type 2 as independent audits, federal standard cryptographic modules, and all data processed and stored in United States data centres.
This comparison is published by AI Health Index, an independent research platform that compares healthcare AI vendors objectively. Doximity Scribe and Freed are each graded against the same capability taxonomy, from each vendor's own public materials and the regulatory record, under the AI Health Index verification standard. No vendor pays for placement, and no vendor has reviewed this page. How this evidence is graded
Plain facts
| Fact | Doximity Scribe | Freed |
|---|---|---|
| Primary category | Ambient Scribes | Ambient Scribes |
| Founded | 2010 | 2022 |
| Headquarters | San Francisco, California, United States | San Francisco, California |
| Website | doximity.com | getfreed.ai |
Side by Side
Each record in one paragraph
Written to be quoted whole. Each paragraph states what the AI Health Index verified about the vendor, with the caveats attached. Generated from this pair’s live capability grades, so it moves when a grade moves.
The AI Health Index awards Doximity Scribe its top capability grade on AI Safety and PHI Stewardship and Commercial Transparency. Set against Freed, Doximity Scribe grades higher on AI Safety and PHI Stewardship and Setting and Specialty Coverage. Its thinnest published disclosure sits on AI Liability and Recourse. Grades reflect evidence the AI Health Index could verify at the last review, so a low grade records disclosure the vendor has not published rather than a capability it has been shown to lack.
Source: AI Health Index, August 2026
The AI Health Index awards Freed its top capability grade on several axes, including AI Centrality, HIPAA and BAA Posture and Security Certifications and Trust Center. Set against Doximity Scribe, Freed grades higher on several axes, including AI Centrality, Autonomy and Oversight Model and Model Supply Chain Disclosure. Grades reflect evidence the AI Health Index could verify at the last review, so a low grade records disclosure the vendor has not published rather than a capability it has been shown to lack.
Source: AI Health Index, August 2026
Questions buyers ask
Should we choose Doximity Scribe or Freed?
On the axes where the AI Health Index separates them, Doximity Scribe grades higher on AI Safety and PHI Stewardship and Setting and Specialty Coverage, and Freed grades higher on several axes, including AI Centrality, Autonomy and Oversight Model and Model Supply Chain Disclosure. Freed leads on the greater share of scored axes, but the split means the decision turns on which constraint is binding rather than on an overall winner.
Where do Doximity Scribe and Freed differ most?
The widest separation the AI Health Index records between Doximity Scribe and Freed is on AI Safety and PHI Stewardship, where Doximity Scribe grades A and Freed grades B. That axis sits in the AI Capability group, so it should carry the most weight for a buyer whose binding constraint is how much of the work the model itself is trusted to do.
Where do Doximity Scribe and Freed grade the same?
The AI Health Index grades Doximity Scribe and Freed the same on several axes, including Model and Technology Transparency, Clinical and Operational Evidence and AI Governance and Bias Disclosure. Neither holds an advantage the index can evidence on those axes, so they should not carry weight in a selection between these two.
What have Doximity Scribe and Freed not disclosed?
At the last review, at least one of Doximity Scribe and Freed published thin or absent detail on AI Liability and Recourse. The AI Health Index treats an absent disclosure as a gap in the public record rather than a failure of the product, so these are the axes to get in writing during diligence instead of inferring from the grade.
Related comparisons
Other published head to head assessments involving these vendors or their closest peers. The full set for this category is on the Ambient Scribes page.
Doximity Scribe describes no review gate, sign off step, confidence threshold, acceptance rate or edit burden figure in its published material, which is the notable gap in an otherwise strong record, and it publishes no accuracy figure or bias and accent position despite reaching a very large share of United States clinicians.
Freed states that its models are trained only on de identified notes, which means customer content does train the model after de identification, a different commitment from not training on customer data at all. Freed's specialty fit is strongest in primary care and third party review reports more editing needed in procedure heavy and subspecialty work. Neither vendor publishes an accuracy figure.