Qualibr vs. Delve
Delve is a simple, manual-first coding tool built for individual researchers and students, with AI added in as an assistant at specific steps. Qualibr is AI-native from the start: it codes your entire corpus automatically as a first pass, and you review, correct, and refine it. The real difference is how much of the coding work happens before you ever open the tool, and how each one charges for it.
The core difference
Delve's own AI page states its philosophy plainly: analysis is "a human process... we don't believe AI can do something as nuanced" as the core interpretive work, so AI is offered as help at specific steps: summarizing transcripts, discussing your codes as a "peer debriefer," and applying a codebook you've already built by hand to new transcripts. That last part matters: Delve's "Apply Codes with AI" is deductive only, it needs a codebook you wrote first.
Qualibr agrees that the interpretation is human work. Every AI-proposed code still waits for a human decision before it counts as anything. Where the two differ is what AI is trusted to draft first: instead of waiting for you to build a codebook by hand, Qualibr's AI proposes the first full open-coding pass across your entire dataset automatically, with every code linked back to the exact quote it came from, and you review and correct it from there.
Side-by-side
| Qualibr | Delve | |
|---|---|---|
| Built for | Individual researchers, consultants, grad students | Individual researchers and students, with team/peer-review sharing |
| AI approach | AI-native: reads the full corpus and proposes codes, definitions, and categories automatically, before you write anything yourself | AI-assisted: chat-based summarizing and code brainstorming, plus automatic deductive coding once you've written the codebook yourself; no automated way to generate the first codebook |
| AI analysis usage | Metered by credits (1 credit ≈ 2,000 characters run through AI analysis); no limit on the number of projects, datasets, or codes themselves | Not usage-metered: flat per-seat fee regardless of how much text you run through it |
| Pricing model | Credit-based: one-time pack (valid 12 months) or a monthly subscription | Per-editor monthly or annual subscription only, no one-time or pay-per-project option |
| Free option | Free plan: 20 credits, no card required | 14-day free trial, no ongoing free tier |
| Typical cost – student | €13.50–117 per pack with the 25% academic discount, or €26.25–56.25/month on Pro/Pro Lite | $18/month per user, for as long as the subscription stays active |
| Typical cost – NGO/non-profit | Same 25% discount: €13.50–117 per pack, or €26.25–56.25/month | No dedicated nonprofit pricing found; standard $50/month per user applies |
| Typical cost – independent/commercial | €18–156 per pack, or €35–75/month on Pro/Pro Lite | $50/month per editor (view-only teammates are free) |
| Methods supported | Content analysis, thematic analysis (Braun & Clarke), deductive/hybrid codebook coding, cross-dataset comparison | Method-agnostic coding environment; no built-in method-specific AI behavior |
Pricing reflects each vendor's published rates as of September 2026 and will be updated as it changes. Delve prices in USD, Qualibr in EUR: worth checking the currency, not just the number, before comparing.
Where Delve genuinely wins
Delve supports nested codes, letting you break a broad code into subcategories as your analysis deepens into a multi-level structure.
It also supports shared project access: invite a collaborator to view a project for free, or add a second editor for teamwork, peer review, or a supervisor's input on the same analysis.
Delve also gives you a conversational AI chat over your data: ask questions about your transcripts, brainstorm codes out loud, or talk through your codebook as a sounding board. Qualibr doesn't have a chat interface at all. Its AI works through structured actions (coding, review, refine) rather than open-ended conversation.
Where Qualibr genuinely wins
Qualibr supports inductive, deductive, and hybrid coding from the start: AI can draft a codebook from scratch, apply one you already have, or grow your codebook while coding against it, across the entire corpus in one pass. Delve's AI can suggest code ideas through chat, but can't generate and apply a working codebook on its own: you still write each code yourself before AI can apply anything across your corpus.
The AI's approach also changes depending on your research method. Content analysis and thematic analysis (Braun & Clarke) each get different guidance for how the AI reads and groups your data, with framework analysis and JTBD-style coding planned next. Delve's coding tool works the same way no matter which method you're technically following by hand. The software itself doesn't know or adjust for the difference.
There's also a dashboard with charts and heatmaps summarizing each dataset (code distribution, category coverage, co-occurrence), and a visual board for pulling excerpts, codes, categories, and findings onto a canvas as live cards linked back to the real analysis. Delve doesn't have an equivalent for either: its coding environment is transcript-and-code-list only, with no charts, word clouds, or network/concept-map view.
Qualibr's 25% discount covers NGOs and nonprofits alongside students and academic staff, under the same policy. Delve discounts for students specifically ($18/month); we found no separate nonprofit rate, so an NGO would pay the standard $50/month.
FAQ
Is Delve's AI the same kind of automatic coding as Qualibr's? Not quite. Delve's AI Assistant summarizes transcripts, discusses your codebook as a sounding board, and can apply a codebook you've already written to new transcripts. It doesn't generate an initial, full-corpus codebook on its own. Qualibr's AI does that first pass automatically, and you refine from there.
Can I try Qualibr the same way I'd try Delve's free trial? Yes, though the shape is different. Delve gives you 14 days of full access, then bills you monthly. Qualibr's free plan has no time limit and no card requirement, capped by credits (enough for one real interview) instead of days.
Does Qualibr support team collaboration like Delve does? Not in the same way today. Delve is built around per-editor seats for group projects and peer review; Qualibr is built for a single researcher owning a project end to end. If real-time collaborative editing across a team is what you need, that's a genuine reason to look at Delve instead.
Sources
- Delve pricing and Delve for Students (checked September 2026)
- Delve's AI Assistant (official product positioning, checked September 2026)