Stop re-reading your own notes.

Freed is fast. Stream is fast too — and builds a record that actually remembers your patients and their problems.

Speed is great. Speed + Context is better.

Stop re-reading your own notes.

Freed is fast. Stream is fast too — and builds a record that actually remembers your patients and their problems.

Speed is great. Speed + Context is better.

Stop re-reading your own notes.

Freed is fast. Stream is fast too — and builds a record that actually remembers your patients and their problems.

Speed is great. Speed + Context is better.

The difference only becomes clear over time

The difference only becomes clear over time

Illustrative example: encounter-based notes accumulate as separate documents, while Stream builds a living, problem-based record across visits.

Illustrative example: generic AI scribes produce more documents; Stream creates a living, problem-based record that grows in usefulness.
Illustrative example: generic AI scribes produce more documents; Stream creates a living, problem-based record that grows in usefulness.
Illustrative example: generic AI scribes produce more documents; Stream creates a living, problem-based record that grows in usefulness.

On the first visit, Stream and Freed often feel similar. You speak, and a note gets done faster than typing — which is genuinely helpful.

But clinical care is longitudinal. The real work happens on the second visit, the fifth visit, and the follow-up you didn’t expect. That’s where tools diverge.

Freed is designed to generate fast, encounter-level notes. Each visit produces a new document that lives alongside the others. Over time, clinicians are left to mentally reconstruct the patient story from a growing pile of disconnected notes.

Stream is built differently. From the start, documentation is organized by patient and by medical problem. Each visit updates existing problem narratives instead of starting over. Context is pulled forward automatically, so Stream becomes more useful with every encounter.

Who Stream is Built for — The Short Answer

Who Stream is Built for — The Short Answer

Stream is built for clinicians who need accurate, organized documentation that carries forward across visits — not just fast notes.

Stream

Independent primary care, DPC, and specialty clinicians who care about longitudinal accuracy, problem lists, and clinical continuity.

Freed AI

Clinicians who want the fastest possible note for single visits and don’t need chart memory or longitudinal structure.

Documentation Philosophy

Documentation Philosophy

Stream treats documentation as a living clinical record, organized by medical problem and refined over time.

Freed focuses on rapid generation of a complete note for a single encounter, prioritizing speed over longitudinal structure.

Feature & Pricing Comparison

Features

Stream

Freed

Patient Memory

Yes - linked by name only

Templates

Manually assigned, encounter based

Document Ingestion

No

Price

$99/month

Free Trial

7 Days

Workflow, Step by Step

Workflow, Step by Step

Before the Visit

Stream helps clinicians review problems, context, and tasks before the visit using accumulated chart memory.

Freed generally starts fresh each visit, without structured access to prior problem-level context.

During the Visit

Stream listens, structures notes by problem, and incorporates prior documentation as context during the visit.

Freed transcribes and summarizes the current conversation into a complete note.

After the Visit

Stream generates documentation, tasks, and structured updates that persist into future visits.

Freed produces a completed note after the visit, typically without ongoing carry-forward.

Across Visits

Stream maintains continuity across visits by linking documentation to persistent problem histories.

Freed treats each visit independently, with limited cross-visit continuity.

Stream Features

Structure & Organization

Structure & Organization

Stream organizes documentation by medical problem, allowing multiple diagnoses and codes to live under clinician-defined problem buckets.

Freed produces encounter-based notes with limited internal structure beyond the visit.

Context & Continuity

Context & Continuity

Stream actively pulls forward relevant prior narrative to improve completeness and reduce redocumentation.

Freed relies primarily on the current visit conversation, with limited reuse of past context.

EHR & Practice Fit

EHR & Practice Fit

Stream is designed to work across many EHRs and workflows without requiring enterprise integrations.

Freed is often positioned as a lightweight scribe that fits alongside existing EHR note workflows.

Control & Customization

Control & Customization

Stream offers deep customization of templates, problem structure, and documentation style.

Freed offers simpler configuration focused on speed and minimal setup.

Tradeoffs & When Each Tool Makes Sense

Tradeoffs & When Each Tool Makes Sense

Clinicians who only need very fast, one-off notes without concern for longitudinal accuracy may find Stream more than they need.

Freed excels at quick note turnaround for episodic care or clinicians who value speed above structure.

Strengths at a Glance

Strengths at a Glance

Stream
  • Maintains context automatically across visits

  • Reduces review burden, not just creation time

  • Problem-centric view aligns with clinical reasoning

Freed
  • Quick note turnaround

  • Lightweight, low-friction setup

  • Good for occasional documentation needs

The Bottom Line

The Bottom Line

Two tools built for different kinds of clinical work

Most clinical work happens over multiple visits. Freed gives you fast notes. Stream gives you a record that continues to inform your decisions, without manual linking or chart scraping.

Frequently Asked Questions

Does Stream actually use past visit context automatically?

Can Stream be used for quick visits too?

Does Freed store long-term patient context?

Does Stream actually use past visit context automatically?

Can Stream be used for quick visits too?

Does Freed store long-term patient context?

Does Stream actually use past visit context automatically?

Can Stream be used for quick visits too?

Does Freed store long-term patient context?